1. I.Stojmenovic, V.Stojkvic, and T.Kurita, ``On Gramatical
Specification of Infinite Structures,'' Informatika, Vol.20, No.3, pp.147-152,
1986.
9. T.Kato, T.Kurita, H.Shimogaki, ''Multimedia Interaction with Image
Database Systems,'' ACM SIGCHI Bulletin, Vol.22, No.1, pp.52-54, 1990.
10. T.Kato, T.Kurita, and H.Shimogaki, ''Intelligent Visual Interaction
with Image Database Systems ---Toward the Multimedia Personal Interface---,''
Journal of Information Processing, Vol.14, No.2, pp.134-143, 1990.
11. T.Kurita, ''An Efficient Agglomerative Clustering Algorithm using a
Heap,'' Pattern Recognition, Vol.24, No.3, pp.205-209, 1991.
12. I.Sekita, T.Kurita, and N.Otsu, ``Complex Autoregressive Model for
Shape Recognition,'' IEEE Trans. on Pattern Analysis and Machine Intelligence,
Vol.14, No.4, pp.489-496, 1992.
13. T.Kurita and N.Abdelmalek, ``An Edge-Based Approach for the
Segmentation of 3-D Range Images of Small Industrial-like Objects,''
International Journal of Systems Science, Vol.23, No.9, pp.1449-1461, 1992.
14. T.Kurita, N.Otsu, and N.Abdelmalek, ``Maximum Likelihood
Thresholding based on Population Mixture Models,'' Pattern Recognition, Vol.25,
No.10, pp.1231-1240, 1992.
16. T.Kurita and N.Otsu, ``A Method of Block Truncation Coding for Color
Image Compression,'' IEEE Trans. on Communications, Vol.41, No.9, pp.1270-1274,
1993.
17. I.Sekita, T.Kurita, D.H.Y.Chiu, and H.Asoh, ``A Method to Reduce
Redundant Hidden Nodes,'' IEICE Trans. on Information and Systems, Vol.E77-D,
No.4, pp.443-449, 1994.
18. T.Kurita, I.Sekita, and N.Otsu, ``Invariant Distance Measures for
Planar Shapes based on Complex Autoregressive Model,'' Pattern Recognition,
Vol.27, No.7, pp.903-911, 1994.
19. M.Tanaka, T.Kurita, and S.Umeyama, ``Image Understanding via
Representation of the Projected Motion Group,'' Pattern Recognition Letters,
Vol.15, pp.993-1001, 1994.
20. T.Kurita, ``Iterative Weighted Least Squares Algorithms for Neural
Networks Classifiers,'' New Generation Computing, Vol.12, pp.375-394, 1994.
22. T.Kurita, ``An Efficient Clustering Algorithm for Region Merging,''
IEICE Trans. of Information and Systems, Vol.E78-D, No.12, pp.1546-1551, 1995.
27. H.Shimai, T.Kawamoto, T.Shigehara, T.Mishima, M.Tanaka, and
T.Kurita, ``Estimation of camera rotation using quasi moment features,'' IEICE
Trans. on Fundamentals of Electronics, Communications, and Computer Sciences,
Vol.E-83-A, No.6, pp.1005-1013, 2000.
28. T.Kawamoto, K.Hotta, T.Mishima, J.Fujiki, M.Tanaka and T.Kurita,
``Estimation of single tones from chord sounds using non-negative matrix
factorization,''International Journal on Neural and Mass-Parallel Computing and
Information Systems, Vol.10, No.4, pp.429-436, 2000.
29. K.Hotta, T.Mishima, and T.Kurita, ``Scale invariant face detection
and classification method using shift invariant features extracted from
Log-Polar image,'' IEICE Trans. on Information and Systems, Vol.E84-D, No.7,
pp.867-878, 2001.7.
31. H.Asoh, T.Motomura, F.Asano, I.Hara, S.Hayamizu, K.Itou, T.Kurita,
T.Matsui, N.Vlassis, R.Bunschoten, and B.Krose, ``Jijo-2: An office robot that
communicates and learns,'' IEEE Intelligent Systems, Sep./Oct., pp.46-55, 2001.
34. T.Kurita and S.Hayamizu, ``Gesture recognition using HLAC features
of PARCOR images,'' IEICE Trans. on Information and Systems, Vol.E86-D, No.4,
pp.719-726, 2003.4.
35. T.Kurita and T.Takahashi, ``Viewpoint independnent face recognition
by competition of the viewpoint dependent classifiers,'' Neurocomputing,
Vol.51, pp.181-195, 2003.4.
39. Mickael Pic, Luc Berthouze, and Takio Kurita, ``Adaptive background
estimation: computing a pixel-wise learning rate from local confidence and
global correlation values,'' IEICE Trans. on Information and Systems, Vol.E87-D,
No.1, pp.50-57, 2004.
41. Kenji Nishida, Toshio Tanaka, and Takio Kurita, ''Constructing a map
of place cells for mobile robot navigation,'' International Congress Series
1269, Elsevier, pp.189-192, 2004.
42. Takio Kurita, Toshio Taguchi, ``A kernel-based Fisher discriminant
analysis for face detection,'' IEICE Trans. on Information and Systems,
Vol.E88-D, No.3, pp.628-635, 2005.3.
44. Takashi Takahashi and Takio Kurita, ``A robust classifier combined
with an auto-associative network for completing partly occluded images,''
Neural Networks, Vol.18, pp.958-966, 2005.9.
46. Kazuhiro Hotta, Masaru Tanaka, Takio Kurita, and Taketoshi Mishima,
``An efficient search method based on Dynamic Attention Map by Ising Model,''
IEICE Trans. on Information and Systems, Vol.E88-D, No.10, pp.2286-2295,
2005.10.
48. K.Shimokawa, Y.Okamura-Oho, T.Kurita, M.C.Frith, J.Kawai,P.Carninci,
Y.Hayashizaki, Large-scale clustering of CAGE tag expression data, BMC
Bioinformatics, 2007, 8:161 (21 May 2007)
49. Norikazu Morisaki, Yoshinori Okade, Takumi Kobayashi and Takio
Kurita, ``A Study of the Relation between Teaching Experience in PE and the
Evaluation of Sports Game Video,'' Int. J. Sport Health Sci., Vol.6, pp.33-44,
2008.
50. Kenji Watanabe and Takio Kurita, ``Automatic Factorization of
Biological Signals Measured by Fluorescence Correlation Spectroscopy
using Non-negative Matrix Factorization,'' Neural Information Processing --
Letters and Reviews, Vol. 12, Nos. 1-3, pp.1-10, 2008.
51. Akinori Hidaka, Kenji Nishida, and Takio Kurita, ``Object Tracking
by Maximizing Classification Score of Detector Based on Rectangle Features,''
IEICE Trans. on Information and Systems, Vol.E91-D, No.8, pp.2163-2170, 2008.8.
54. Rameswar Debnath., Takio Kurita, ``An evolutionary approach for gene
selection and classification of microarray data based on SVM error-bound
theories,'' BioSystems, Volume 100, Issue 1, April 2010, Pages 39-46.
55. K.Tanabe, B.Lucic, D.Amic, T.Kurita, M.Kaihara, N.Onodera, T.Suzuki
``Prediction of carcinogenicity for diverse chemicals based on substructure
grouping and SVM modeling,'' Molecular Diversity (accepted)
58.
Rameswar Debnath, Haruhisa Takahashi and Takio Kurita, "A comparison of SVM-based evolutionary methods for multicategory cancer diagnosis using microarray gene expression data," Journal of Systemics, Cybernatics and Informatics, vol. 9, no. 6, pp. 63-68, 2011.
59.
Tetsu Matsukawa, and Takio Kurita, ``Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images,'' Pattern Recognition, 45 (2), pg. 707-719, February 2012.
60.
M. S. Kavitha, A. Asano, A. Taguchi, T. Kurita, and M. Sanada,@Diagnosis of Osteoporosis on Dental Panoramic Radiographs using Support Vector Machine in Computer-Aided system, BMC Medical Imaging 2012, 12:1
61.
Kenji Watanabe, Akinori Hidaka, Nobuyuki Otsu, and Takio Kurita, ``Automatic Analysis of Composite Physical Signals using Non-negative Factorization and Information Criterion,'' PLoS ONE, Vol.7, No.3, e32352, March 2012.
62.
Tsuchiya, C., Tanaka, S., Furusho, H., Nishida, K., and Kurita, T.: Real-Time Vehicle Detection using a Single Rear Camera for a Blind Spot Warning System, SAE International Journal of Passenger Cars - Electron. Electr. Syst. 5(1), pp.146-153, 2012.@doi:10.4271/2012-01-0293
63.
Xinoying Guo, Chie Muraki Asano, Akira Asano, Takio Kurita, and Liang Li, `` Analysis of the texture characteristics associated with visual complexity perception, Optical Review, Vol.19, no.5, pp.306-314, 2012.10.
64.
Lei Yang, Akira Asano, Liang Li, Chie Muraki Asano, Takio Kurita, ``Multi-structural texture analysis using mathematical morphology, '' IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences, Vol.E95-A, No.10, pp.1759-1767, 2012.10.
65.
Keiji Shimada, Yoshihiro Noguchi, and Takio Kuria, ``Fast and Robust Smile Intensity Estimation by Cascaded Support Vector Machines,''International Journal of Computer Theory and Engineering, vol.5, no.1, pp.24-30, 2013.
66.
Tanabe, Kazutoshi, Suzuki, Takahiro, Kurita, Takio, Nishida, Kenji, Lucic, Bono, Amic, Dragan, ``Improvement of carcinogenicity prediction performances based on sensitivity analysis in variable selection of SVM models,ff the Journal of Chemical Information and Modeling (SAR QSAR Environ Res. 2013 Jan 25. DOI:10.1080/1062936X.2012.762425 [Epub ahead of print])
67.
X. Y. Guo, C. Muraki Asano, A. Asano, and T. Kurita, "Modeling the Perception of Visual Complexity in Texture Images," International Journal of Affective Engineering, vol. 12, no. 2, pp.223-231, 2013.
70.
Zhouxin YANG, Takio KURITA, `` Improvements of local descriptor in HOG/SIFT by BOF approach,ff IEICE Trans. on Fundamentals, Vol.E97-D, No.5,pp.1293-1303, May. 2014.
71.
Takahashi Takashi and Takio Kurita, ``Image Classification using a Mixture of Subspace Models, IPSJ Transactions on Computer Vision and Application, Vol.6, pp.93-97, 2014.
1. N.Otsu, T.Kurita, and H.Asoh, ''A unified study of multivariate data
analysis methods by nonlinear for mulations and underlying probabilistic
structures,'' Proceedings of the Japanese-French Scientific Seminar on Recent
Developments in Clustering and Data Analysis, Tokyo, March 1987, pp.83-88,
1987.
2. N.Otsu and T.Kurita, ''A new scheme for practical flexible and
intelligent vision systems,'' Proceedings of IAPR Workshop on Computer Vision
--Special Hardware and Industrical Applications--, Tokyo, October 1988,
pp.431-435,1988.
3. T.Kato, T.Kurita, and H.Shimogaki, ''Multimedia interaction with
image database systems,'' Proceedings of Advanced Database Systems
Symposium'89, Kyoto, December 1989, pp.271-278, 1989.
4. T.Kato, T.Kurita, and H.Shimogaki, ''Multimedia interaction with
image database systems,'' Concerence on Human Factors in Computing Systems
(CHI'90), 1990.
5. T.Kato and T.Kurita, ''Visual interaction with electronic art
gallery,'' Proceedings of the International Conference on Data Base And Extert
Systems Applications, Vienna, 1990.
6. T.Kato, T.Kurita, H.Shimogaki, T.Mizutori, and K.Fujimura, ''A
cognitive approach to visual interaction,'' Proceedings of the International
Conference on Multimedia Information Systems'91, Singapore, 1991.
7. T.Kato, T.Kurita, H.Shimogaki, T.Mizutori, and K.Fujimura,
''Cognitive view mechanism for multimedia database system,'' Proceedings of the
First International Workshop on Interoperability in Multidadabase Systems
(IMS'91), Kyoto, 1991.
8. T.Kurita, N.Otsu, and T.Sato, ``A face recognition method using
higher order local autocorrelation and multivariate analysis,'' Proc, of11th
International Conference on Pattern Recognition (ICPR'92), Aug.30-Sep.3, The Hague, Vol.I, pp.530-533, 1992.
9. T.Kato, T.Kurita, N.Otsu, and K.Hirata, ``A sketch retrieval method
for full color image database--Query by visual example--,'' Proc. of 11th
International Conferenceon Pattern Recognition (ICPR'92), Aug.30-Sep.3, The Hague, Vol.II, pp.213-216, 1992.
10. D.K.Y.Chiu, I.Sekita, and T.Kurita, ``Evaluation of inter dependent
nodes in layered neural networks,'' Proc. of Second International Conferenceon
Automation, Robotics and Computer Vision, Sep.15-18, Singapore, 1992.
11. T.Kurita, ``Iterative weighted least squares algorithms for neural
networks classifiers,'' Proc. of Workshop on Algorithmic Learning Theory
(ALT'92), Oct. 20-22, Tokyo, pp.77-86, 1992.
12. T.Kurita and P.Boulanger, ``Computation of surface curvature from
range images using geometrically intrinsic weights,'' Proc. of IAPR Workshopon
Machine Vision Applications (MVA'92), Dec. 7-9, Tokyo, 1992.
13. I.Sekita, T.Kurita, D.K.Y.Chiu, and H.Asoh, ``Reconfigurating
feedforward networks with fewer hidden nodes,'' Proc. of SPIE, Vol.1962
Adaptive and Learning Systems II, pp.45-53, 1993.
14. H.Iba, T.Kurita, H.de Garis, and T.Sato, ``System identification
using structured genetic algorithms,'' Proc. on Fifth Inter. Conf. on Genetic
Algorithms (ICGA'93), July 17-21, University of Illinois, pp.279-286, 1993.
15. T.Kurita and T.Kato, ``Learning of personal visual impression for
image database systems,'' Proc of the Second Inter. Conf. on Document Analysis
and Recognition, Oct.20-22, Tsukuba Science City, pp.547-552, 1993.
16. T.Kurita and N.Otsu, ``Texture classification by higher order local
autocorrelation features,'' Proc. of Asian Conf. on Computer Vision (ACCV'93),
Nov.23-25, Osaka, pp.175-178, 1993.
17. T.Kurita, H.Asoh, and N.Otsu, ``Nonlinear discriminant features
constructed by using outputs of multilayer perceptron,'' Proc. of Inter.
Symposiumon Speech, Image Processing, and Neural Networks, April 13-16, Hong Kong, pp.417-420, 1994.
18. I.Sekita, T.Kurita, N.Otsu, and N.Abdelmalek, ''A thresholding
method using the mixture of normal density functions,'' Proc. of Inter.
Symposiumon Speech, Image Processing, and Neural Networks, April 13-16, Hong Kong,1994.
19. T.Kurita, H.Asoh, S.Umeyama, S.Akaho, and A.Hosomi ``A structural
learning by adding independent noises to hidden units,'' Proc. of IEEE Inter.
Conf. on Neural Networks (ICNN'94), June 28 - July 2, pp.275-278, 1994.
20. T.Kurita, ``An efficient agglomerative clustering algorithm for
region growing,'' Proc. of IAPR Workshop on Machine Vision Applications
(MVA'94), Dec.13-15, Kawasaki, p.210-213, 1994.
21. O.Hasegawa, K.Itou, T.Kurita, S.Hayamizu, K.Tanaka, K.Yamamoto, and
N.Otsu, ``Multimodal interface with personified active agent,'' Proc. RWC
Information Integration Workshop, pp.101-106, 1995.
22. K.Suzaki, T.Kurita, H.Tanuma, S.Hirano, and Y.Ichisugi, ``Two
dynamic performance tuning methods for portable parallel programs,'' Prof. of
IEEE First International Conference on Algorithms and Architectures for
Parallel Processing, pp.585-594, 1995.
23. K.Itou, O.Hasegawa, T.Kurita, S.Hayamizu, K.Tanaka, K.Yamamoto, and
N.Otsu, ``An active multimodal interaction system,'' Proc of The European Speech
Communication Association Workshop on Spoken Dialogue Systems, pp.169-172,
1995.
24. O.Hasegawa, K.Itou, T.Kurita, S.Hayamizu, K.Tanaka, K.Yamamoto, and
N.Otsu, ``Active agent oriented multimodal interface system,'' Proc. of
International Joint Conf. on Artificial Intelligence (IJCAI-95), pp.82-87,
1995.
25. O.Hasegawa, K.Itou, T.Kurita, S.Hayamizu, K.Sakaue, K.Tanaka,
K.Yamamoto, and N.Otsu, ``An interactive human-like agent with functions of
seeing, hearing and speaking,'' Proc. of International Conference on Virtual
Systems and Multimedia'95 (VSMM-95), pp.112-117, 1995.
26. S.Akaho, S.Hayamizu, O.Hasegawa, K.Itou, T.Akiba, H.Asoh, T.Kurita,
K.Sakaue, K.Tanaka and N.Otsu, ``Recent developments for multimodal interaction
by visual agent with spoken language,'' Proc. of the First International Conf.
on Multimodal Interface, pp.135-139, 1996.
27. T.Matsui, H.Asoh, I.Hara, Y.Motomura, S.Akaho, T.Kurita F.Asano, and
N.Yamasaki ``An Office Conversant Mobile Robot that Learns by Navigation and
Conversation,'' Proc. of Real World Computing Symposium, pp.59-62, 1997.
28. S.Hayamizu, K.Sakaue, O.Hasegawa, K.Itou, T.Yoshimura, K.Hasida,
T.Akiba, H.Asoh, S.Akaho T.Kurita, K.Tanaka and N.Otsu, ``Multimodal
Interaction System at the Electrotechnical Laboratory,'' Proc. of Real World Computing
Symposium, pp.16-22, 1997.
29. K.Nitta. O.Hasegawa, T.AKiba, T.Kamishima, T.Kurita, S.Hayamizu,
K.Itoh, M.Ishizuka, H.Dohi and M.Okamura, ``An Experimental Multimodal
Disputation System,'' International Joint Conf. on Artificial Intelligence
(IJCAI'97) Workshop on Intelligent Multimodal Systems, 1997.
30. O.Hasegawa, K.Sakaue, K.Itou, T.Kurita, S.Hayamizu, K.Tanaka and
N.Otsu, ``Agent Oriented Multimodal Image Learning System,'' International
Joint Conf. on Artificial Intelligence (IJCAI'97) Workshop on Intelligent
Multimodal Systems, 1997.
31. O.Hasegawa, K.Sakaue, K.Itou, T.Kurita, S.Hayamizu, K.Tanaka and
N.Otsu, ``An Anthoropomoriphic Multimodal Agent which Learns Image Information
Through Interactions,'' International Joint Conf. on Artificial Intelligence
(IJCAI'97) Poster Session, 1997.
32. T.Kurita, Y.Kobayashi and T.Mishima, ``Higher Order Local
Autocorrelation Features of PARCOR Images for Gesture Recognition,'' Proc. of
International Conf. on Image Processing (ICIP'97), Santa Barbara, pp.722-725,
1997.
33. T.Kurita, K.Hotta and T.Mishima, ``Scale and Rotation Invariant
Recognition Method using Higher-Order Local Autocorrelation Features of
Log-Polar Image,'' Proc. of Asian Conf. on Computer Vision (ACCV'98), Hong Kong, pp.89-96, 1998.
34. T.Kurita, and S.Hayamizu, ``Gesture Recognition using HLAC Features
of PARCOR Images and HMM based Recognizer,'' Proc. of Inter. Conf. on Automatic
Face and Gesture Recognition (FG'98), pp.422-427, 1998.
35. K.Hotta, T.Kurita, and T.Mishima, ``Scale Invariant Face Detection
Method using Higher-Order Local Autocorrelation Features of Log-Polar Image,''
Proc. of Inter. Conf. on Automatic Face and Gesture Recognition (FG'98),
pp.70-75, 1998.
36. M.Salami, H. Sakanashi, M. Tanaka, M. Iwata, T. Kurita, and T.
Higuchi, ``On-Line Compression of High Precision Printer Images by Evolvable
Hardware,'' Proc. DCC'98 Data Compression Conference, pp. 219 - 228, IEEE
Computer Society Press, Los Alamitos, CA, USA, 1998.
37. M. Tanaka, H. Sakanashi, M. Salami, M. Iwata, T. Kurita, and T.
Higuchi ``Data Compression for Digital Color Electrophotographic Printer with
Evolvable Hardware,'' Evolvable Systems: From Biology to Hardware, Lecture
Notes in Computer Science 1478, pp. 106-114, Springer Verlag, 1998.
38. K.Hotta, M.Tanaka, T.Kurita, and T.Mishima, ``Multilevel Ising
Search for Human Face Detection,'' Proc.of SPIE'98: Applications of Digital
Image Processing XXI, pp.202-213, 1998.
39. M.Tanaka, K.Hotta, T.Kurita, and T.Mishima, ``Multilevel Dynamic
Attention Map for Human Face Detection,'' Proc. of SPIE'98: Vision Geometory
VII, pp.274-285, 1998 .
40. M.Tanaka, K.Hotta, T.Kurita, and T.Mishima, ``Dynamic Attention Map
by Ising Model for Human Face Detection,'' Proc. of 14th International
Conference on Pattern Recognition (ICPR'98), pp.1044-1046 1998.
41. S.Akaho, Y.Goto, T.Kurita and H.Mizoguchi, ``Pursuit Movement of
Pan-Tilt Camera by Feedback-error-learning,'' Proc. of International Conference
on Neural Information Processing (ICONIP98), pp.409-412, 1998.
42. Y.Baba, T.Kurita, M.Tanaka, S.Akaho, S.Umeyama, and T.Mishima, ``An
Experimental Foveated Vision System using Fish-Eye Lens and Integration of
Retinal Images,'' Proc. of International Technical Conference on
Circuits/Systems, Computers and Communications (ITC-CSCC'99), Vol.I, pp.1-8,
1999.
43. T.Watanabe, M.Tanaka, T.Kurita, and T.Mishima, ``Autonomous
Foveating System based on Pulse-Coupled Neural Network,'' Proc. of
International Technical Conference on Circuits/Systems, Computers and
Communications (ITC-CSCC'99), pp.197-200, 1999.
44. H.Shimai, T.Kawamoto, M.Tanaka, T.Kurita, T.Shigehara, and
T.Mishima, ``Estiamtion of Camera Rotation using Quasi Moment Features,'' Proc.
of International Technical Conference on Circuits/Systems, Computers and
Communications ITC-CSCC'99, Vol.I, pp.374-377, 1999.
45. M.Tanaka, H.Shimai, T.Kurita, and T.Shigehara, ``Multilevel
Autoregressive Models for Planar Shape,'' Proc. of the SPIE Conference on
Applications of Digital Image Processing XXII, pp.526-535, 1999.
46. K.Hotta, T.Kurita, and T.Mishima, ``Scale Invaraint Face Recognition
Method using Spectral Features of Log-Polar Image,'' Proc. of the SPIE
Conference on Applications of Digital Image Processing XXII, pp.33-43, 1999.
47. T.Matsui, H.Asoh, J.Fry, Y.Motomura, F.Asano, T.kurita, I.Hara, and
N.Otsu, ``Integrated Natural Spoken Dialoge System of Jijo-2 Mobile Robot for
Office Services,'' Proc. of AAAI-99, Florida, July, 1999.
48. M.Tanaka, T.Watanabe, Y.Baba, T.Kurita, and T.Mishima, ``Autonomous
Foveating System and Integration of the Foveated Images,'' Proc. of
International Conference on System, Man, and Cybernetics (SMC'99), Vol.I,
pp.559-564, 1999.
49. I.Hara, A.Zelinsky, T.Matsui, H.Asoh, T.Kurita, M.Tanaka, K.Hotta,
``Communicative Functions to Support Human Robot Cooperation,'' Proc. of
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99),
1999.
50. K.Hotta, T.Mishima, T.Kurita, and S.Umeyama, ``Face matching through
information theoretical attention points and its applications to face detection
and classification,'' Proc. of the Fourth International Conference on Automatic
Face and Gesture Recognition (FG2000), pp.34-39, 2000.
51. T.Takahashi, and T.Kurita, ``Reconstructing optical flow generated
by camera rotation via autoassociatve learning,'' Proc. of the International
Joint Conference on Neural Networks (IJCNN2000), vol.IV, pp.279-283, 2000.
52. H.Shimai, T.Mishima, T.Kurita, and S.Umeyama, ``Adaptive background
estimation from image sequence by on-line M-estimation and its application to
detection of moving objects,'' Porc. of Workshop on Real-Time Image Sequence
Analysis (RISA2000), pp.99-108, 2000.
53. T.Kurita, M.Tanaka, K.Hotta, H.Shimai, and T.Mishima, ``Efficient
face detection from news images by adaptive estimation of prior probabilities
and Ising search,'' Proc. of 15th Inter. Conf. on Pattern Recognition
(ICPR2000), pp.921-924, 2000.
54. T.Kurita, H.Shimai, Y.Baba, T.Mishima, ``Gaze control on virtual
active vision system with binocular fish-eye lenses,'' Proc. of IEEE Inter.
Conf. on Systems, Man & Cybernetics (SMC2000), pp.1644-1649, 2000.
55. T.Kurita, K.Hotta, and T.Mishima, ``Feature ordering by cross
validation for face detection,'' Proc. of IAPR Workship on Machine Vision
Applications (MVA2000), pp.211-214, 2000.
56. T.Kurita, H.Shimai, T.Mishima, and T.Takahashi, ``Self-organization
of viewpoint dependent face representation by the self-supervised learning and
viewpoint independent face recognition by the mixture of classifiers,'' Proc.
of IAPR Workship on Machine Vision Applications (MVA2000), pp.319-322, 2000.
57. K.Yasumoto, T.Kurita, and T.Takahashi, ``Vision-based recognition of
the hand postures using self-organizing map and linear discriminant analysis,''
Proc. of International Conference on Human-Computer Interaction -- INTERACT'01,
pp.777-778, 2001.6.
58. T.Takahashi, and T.Kurita, ``A self-organization model of feature
columns and face responsive neurons in the temporal cortex,'' Proc. of
International Joint Conference on Neural Networks, pp.82-87, 2001.7.
59. K.Nishida, T.Takahashi, and T.Kurita, ``Topographic kernel-based
regression method,'' Proc. of Joint Conferences on Information Sciences,
2002.3.
60. T.Kurita and T.Taguchi, ``A modification of kernel-based Fisher
discriminant analysis for face detection,'' Proc. of the Fifth Inter. Conf. on
Automatic face and Gesture Recognition, 20-21 May 2002, Washington, D.C., pp.300-305, 2002.05.
61. M.Yoshida, M.Tanaka, and T.Kurita, ``Motion detection model based on
PCNN,'' Proc. ofITC-CSCC 2002 The 2002 Intern. Technical Conf. on
Circuits/Systems, Computers and Communications, July 16-19, 2002, Phuket Acadia Hotel & Resort, Phuket, Thailand, pp.273-276, 2002.07.
62. N.Nishi, M.Tanaka and T.Kurita, ``Three dimentional segmentation in
PCNN,'' Proc. ofITC-CSCC 2002 The 2002 Intern. Technical Conf. on
Circuits/Systems, Computers and Communications, July 16-19, 2002, Phuket Acadia Hotel & Resort, Phuket, Thailand, pp.802-805, 2002.07.
63. T.Kurita, T.Takahashi, and Y.Ikeda, ``A Neural Network Classifier
for Occluded Images,'' Proc. of International Conference on Pattern Recognition
(ICPR2002), Vol.III, pp.45-48, 2002.8.
64. Takashi TAKAHASHI and Takio KURITA, ``Robust De-Noising by Kernel
PCA'' International Conference on Artificial Neural Networks(ICANN2002),
In Artificial Neural Networks - ICANN2002, Springer, pp. 739-744, 2002
65. O.Hasegawa, and T.Kurita, ``Face and non-face classification
by multinomial logit model and kernel feature compound vector,'' Proc.
9th International Conference on Neural Information Processing (ICONIP'02),
2002.11.
66. O.Hasegawa, and T.Kurita, ``A kernel logit approach for face and
non-face classification,'' Proc. of Sixth IEEE Workshop on Applications of
Computer Vision (WACV2002), pp.100-104, 2002.12.
67. K.Yasumoto, J.Mizuno, and T.Kurita, ``Improvement of generalization
ability of kernel-based Fisher discriminant analysis for recognition of
Japanese sign language hand postures, "Yubi-Moji", using K-means
method,'' Proc. of IAPR Workshop on Machine Vision Applications (MVA2002),
pp.269-272, 2002.12.
68. O.Hasegawa, and T.Kurita, ``A multi-class pattern recognition method
by combined use of multinomial logit model and K-nearest neighbor rule,'' Proc.
of IAPR Workshop on Machine Vision Applications (MVA2002), pp.430-434, 2002.12.
69. M.Pic, L.Berthouze, and T.Kurita, ``Adaptive background
estimation,'' Proc. of IAPR Workshop on Machine Vision Applications (MVA2002),
pp.451-454, 2002.12.
70. T.Kurita, M.Pic, and T.Takahashi, ``Recognition and detection of
occluded faces by a neural network classifier with recursive data
reconstruction,'' Proc. of IEEE Conf. on Advanced Video and Signal Based
Surveillance (AVSS2003), Miami, Florida, 21-22 July, pp.53-58, 2003.
71. J.Fujiki, T.Takahashi, and T.Kurita, ``Apply autoassociative
learning to recover the motion and the shape from sequences of scaled
orthographic images,'' Proc. of the WSWAS/IASME International Conferences,
2004.
72. K.Nishida, T.Tanaka, and T.Kurita, ``Constructing a map of place
cells for mobile robot navigation,'' International Congress Series 1269 (Brain
Inspired Information Technology), pp.189-192, Elsevier 2004.
73. Masato Ogata, Kagenori Kajihara, Takio Kurita, and Issei Fujishiro,
''Volumetric computing graphics cluster -A successful result of cooperative
research between private companies and national institutions -,'' Proc. of the
Tenth International Conference on Virtual Systems and Multimedia (VSMM2004),
17-19 Nov. 2004, Ogaki City, Japan, pp.220-224, 2004.11.
74. Mickael Pic, and Takio Kurita, ``Scene change detection using
Multi-class Support Vector Machine with MPEG encoding information,'' Proc. of
IAPR Conf. on Machine Vision Applications (MVA2005), pp.144-147, 2005.05.
75. Mickael Pic, and Takio Kurita, ``Adaptive vector quantization of
sequences of local blocks for video surveillance system,'' Proc. of IAPR Conf.
on Machine Vision Applications (MVA2005), pp.343-346, 2005.05.
76. Kenji Nishida, and Takio Kurita, ``Pedestrian detection by boosting
soft-margin SVM with local feature selection,'' Proc. of IAPR Conf. on Machine
Vision Applications (MVA2005), pp.402-405, 2005.05.
77. Kenji Nishida, and Takio Kurita, ``Boosting Soft-Margin SVM with
Feature Selection for Pedestrian Detection,'' Proc. of Intermational Workshop
on Multiple Classfier Systems, pp.22-31, 2005.6.13.
78. Hiroaki Inayoshi and Takio Kurita, ``Improved generalization by
adding both auto-association and hidden-layer-noise to
neural-network-based-classifiers,'' Proc. of 2005 IEEE International Workshop
on MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP 2005), pp.141-146, 2005.9.
79. Norikazu Morisaki, Takumi Kobayashi, Nobuharu Murata, Takio Kurita
and Nobuyuki Otsu, ``Interactive Searching Method between User's Subjective
Impressions and Family Crest Images,'' International Design Congress -- IASDR
2005, 2005.11.02.
80. Akinori Hidaka, Kenji Nishida, and Takio Kurita, ``Face tracking by
maximizing classification score of face detector based on rectangle features,''
Proc. of the Fourth IEEE International Conference on Computer Vision Systems
(ICVS2006), 2006.01.
81. Masashi Tanigawa, and Takio Kurita, ``Multi-class object recognition
using boosted linear discriminant analysis combined with masking covariance
matrix method,'' Proc. of the Fourth IEEE International Conference on Computer
Vision Systems (ICVS2006), 2006.01.
82. Kenji Nishida, and Takio Kurita, ``Kernel Feature Selection to
Improve Generalization Performance of Boosting Classifiers,'' The 2006
International Conference on Image Processing, Computer Vision, & Pattern
Recognition, Monte Carlo Resort, Las Vegas, Nevada, June 26-29, 2006.
83. Kenji TANAKA, Takio KURITA, Friedrich MEYER, Luc BERTHOUZE, and
Tohru KAWABE, ``Stepwise Feature Selection by Cross Validation for EEG-based
Brain Computer Interface,'' Proc. of 2006 International Joint Conference on
Neural Networks Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada
July 16-21, 2006.
84. Eisuke Adachi, Takio Kurita and Nobuyuki Otsu, ``Reliability index
of optical flow that considers error margin of matches and stabilizes camera
movement estimation,'' Porc.of the 18th International Conference on Pattern
Recognition (ICPR2006), 20-24 August 2006, Hong Kong, 2006.
85. Takio Kurita, Tatsuya Hosoi, and Akinori Hidaka, ``Principal
Component Analysis of Multi-View Images for Viewpoint Independent Face
Recognition,'' Proc. of IEEE International Conference on Advanced Video and
Signal based Surveillance (AVSS2006), 2006.11.23.
86. Eisuke Adachi, Hiroaki Inayoshi and Takio Kurita, ``Estimation of
lane state from car-mounted camera using multiple-model particle filter based
on voting result for one-dimensional parameter space,'' Proc. of the IAPR
Conference on Machine Vision Applications (MVA2007), pp.323-326, 2007.05.17.
87. Kenji TANAKA, Takio KURITA and Tohru KAWABE, ``Selection of Import
Vectors via Binary Particle Swarm Optimization and Cross-Validation for Kernel
Logistic Regression,'' Proceedings of International Joint Conference on Neural
Networks, Orlando, Florida, USA, August 12-17, 2007.
88. Kenji Nishida, Eisuke Adachi, Takio Kurita, ``The Recognition of a
Safe-Overtaking Driving Environment,'' Proc. of 10th IFAC/IFIP/IFORS/IEA
Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, 4-6
September, 2007, Seoul, KOREA.
89. Hiroaki Inayoshi, Takio Kurita, ``Driverfs Head Pose Classification
Using a Single Video Camera,'' Proc. of 10th IFAC/IFIP/IFORS/IEA Symposium on
Analysis, Design, and Evaluation of Human-Machine Systems, 4-6 September, 2007,
Seoul, KOREA.
90. Kenji Watanabe, Takio Kurita, ``Automatic Factorization of Biological Signals measured by Fluorescence Correlation Spectroscopy using Non-negative Matrix Factorization,'' Proc. of 14th International Conference on Neural Information Processing (ICONIP2007), 13-16 November, 2007, Kitakyushu, Japan. [PDF]
91. Hiroaki Inayoshi, Takio Kurita, ``Binarizing Training Samples with Multi-threshold for Viola-Jones Face Detector,'' Proc. of 14th International Conference on Neural Information Processing (ICONIP2007), 13-16 November, 2007, Kitakyushu, Japan.
92. Takuya Kobayashi, Akinori Hidaka, Kurita Takio, ``Selection of Histograms of Oriented Gradients Features for Pedestrian Detection,'' Proc. of 14th International Conference on Neural Information Processing (ICONIP2007), 13-16 November, 2007, Kitakyushu, Japan. [PDF]
93. Takuya Kobayashi, Akinori Hidaka, and Takio Kurita, ``Comparison of linear feature spaces for classication of face sequences in movie videos,'' Proc. of 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2008), pp.70-75, Jan.23-26, 2008, Beppu, Oita, Japan. [PDF]
94. Akinori Hidaka, and Takio Kurita, ``Fast Training Algorithm by Particle Swarm Optimization for Rectangular Feature Based Boosted Detector,'' Proc. of 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2008), pp.88-93, Jan.23-26, 2008, Beppu, Oita, Japan. [PDF]
95. Kenji Watanabe, Akinori Hidata, and Takio Kurita, ``Automatic Factorization of Biological Signals by Using Boltzmann Non-Negative Matrix Factorization,'' Proc. of 2008 IEEE Congress on Computational Intelligence (WCCI2008), Hong Kong Convention and Exhibition Center, June 1-6, pp.1123-1129, 2008. [PDF]
96. Kenji Nishida and Takio Kurita, ``Boosting with Cross-Validation Based Feature Selection for Pedestrian Detection,'' Proc. of 2008 IEEE Congress on Computational Intelligence (WCCI2008), Hong Kong Convention and Exhibition Center, June 1-6, pp.1251-1257, 2008. [PDF]
97. Akinori Hidaka and Takio Kurita, ``Fast Training Algorithm by Particle Swarm Optimization and Random Candidate Selection for Rectangular Feature Based Boosted Detector,'' Proc. of 2008 IEEE Congress on Computational Intelligence (WCCI2008), Hong Kong Convention and Exhibition Center, June 1-6, pp.1164-1170, 2008. [PDF]
98. Akinori Hidaka, Takio Kurita, and Nobuyuki Otsu, ``Object Detection by Selective Integration of Higher Order Local Autocorrelation Mask Feature,'' Proc. of 2008 ECSIS Symposium on Bio-inspired, Learning and Intelligent Systems for Security (BLISS-2008), pp.46-50, 2008.08. [PDF]
99. Kenji Watanabe and Takio Kurita, ``Motion Recognition by Higher Order Local Auto Correlation Features of Motion History Images, Proc. of 2008 ECSIS Symposium on Bio-inspired, Learning and Intelligent Systems for Security (BLISS-2008), pp.51-55, 2008.08. [PDF]
100.Akinori Hidaka and Takio Kurita, ``Non-Neighboring Rectangular Feature Selection Using Particle Swarm Optimization,'' Proc. of International Conference on Pattern Recognition, December 8-11, 2008, Tampa Convention Center, Tampa, FL, USA, 2008.12. [PDF]
101.Kenji Watanabe and Takio Kurita, ``Locality Preserving Multi-Nominal Logistic Regression,'' Proc. of International Conference on Pattern Recognition, December 8-11, 2008, Tampa Convention Center, Tampa, FL, USA, 2008.12. [PDF]
102.Kenji Nishida and Takio Kurita, ``RANSAC-SVM for Large-Scale Datesets,''Proc. of International Conference on Pattern Recognition, December 8-11, 2008, Tampa Convention Center, Tampa, FL, USA, 2008.12. [PDF]
103.Tetsu Matsukawa, Koji Suzuki, and Takio Kurita, ``Preliminary Local Feature Selection by Support Vector Machine for Bag of Features,'' Proc. of The 15th Japan-Korea Joint Workshop on Frontiers of Computer Vision, 5-7 February 2009, Andong, Korea, pp.129-134, 2009.2. [PDF]
104.Tetsu Matsukawa, Akinori Hidaka and Takio Kurita, ``Classification of Spectators' State in Video Sequences by Voting of Facial Expressions and Face Directions,'' Proc. of IAPR Conference on Machine Vision Applications (MVA2009), pp.426-430, 2009.05. [PDF]
105.R.Debnath, and T.Kurita, ``An evolutionary gene selection method for microarray data based on SVM error bound theories,'' Proc. of Int'l Conf. Bioinformatics and Computational Biology (BIOCOMP'09), Vol.1, pp.153-158, 2009.07. [PDF]
106.Kazuki Katagishi, Mitsuteru Nakamura, Yasuhiro Ohmiya, Masakazu Higuchi, Kensuke Hayakawa, Yasuo Morooka, Kazuo Toraichi, Takio Kurita, Hitomi Murakami, ``Proposal of contents-oriented cognitive network architecture towards realization of the New Generation Network,'' Proc. of 2009 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM09), August 23-26, 2009, University of Victoria, Victoria, B.C., Canada, pp.780-785, 2009.08.
107.Tetsu Matsukawa and Takio Kurita , ``Image classification using probability higher-order local auto-correlations,'' Proc. of the 9th Asian Conference on Computer Vision (ACCV2009), Xian, September, 2009. [PDF]
108.Epifanio Bagarinao, Takio Kurita, Masakatsu Higashikubo, Hiroaki Inayoshi, `` Adapting SVM Image Classifiers to Changes in Imaging Conditions Using Incremental SVM: An Application to Car Detection,'' Proc. of the 9th Asian Conference on Computer Vision (ACCV2009), Xian, September, 2009. [PDF]
109.Takio Kurita, Kenji Watanabe, and Nobuyuki Otsu, `` Logistic Discriminant Analysis,ff Proc. of 2009 IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, Texas, USA., October 11-14, pp.2236-2241, 2009. [PDF]
110.Akinori Hidaka and Takio Kurita, `` Co-occurrence of Intensity and Gradient Features for Object Detection,ff 16th International Conference on Neural Information Processing, Bangkok, Thailand, December 1-5, Part II, LNCS 5864, pp.38-46, 2009. [PDF]
111.Tetsu Matsukawa and Takio Kurita, ``Combined Feature Extraction from Global/Local Statistics of Visual Words using Relevant Operations,'' Proc. of the 16th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2010), pp.492-497, 2010.2. [PDF]
112.Yoshito Murayama, Tetsu Matsukawa, and Takio Kurita, ``Finding a sub-optimal combination of the binary classifiers for multi-class classification problems,'' Proc. of the 16th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2010), pp.336-341, 2010.02. [PDF]
113.Kenji Nishida, Takio Kurita, and Masaharu Higashikubo, `` Online Selection of Discriminative Pixel-Pair Feature for Tracking,ff Proc. of IASTED Conf. on Signal Processing, Pattern Recognition and Applications (SPPRA 2010), Innsbruck, Austria, pp. 678-064, February 17 – 19, 2010. [PDF]
114.Rameswar Debnath and Takio Kurita, ``A comparison of evolutionary methods based on SVM error bound theories for multicategory microarray gene expression data,'' International Multi-conference on Complexity, Informatics and Cybernetics, Florida, USA, April 6-9, 2010.
115.Tetsu Matsukawa, and Takio Kurita, ``Scene classification using spatial relationship between local posterior probabilities,'' Proc. of VISAPP2010, Vol.2, pp.325-332, 2010.05. [PDF]
116.Kenji Nishida, Takio Kurita, Yasuo Ogiuchi, and Masakatsu Higashikubo, `` Visual Tracking Algorithm using Pixel-Pair Feature,'' Proc. of Inter. Conf. on Pattern Recognition (ICPR2010), pp.1808-1811, 2010.08. [PDF]
117.Tetsu Matsukawa and Takio Kurita,``Action recognition using three-way cross-correlations feature of local motion attributes,'' Proc. of Inter. Conf. on Pattern Recognition (ICPR2010), pp.1731-1734, 2010.08. [PDF]
118.Keiji Shimada, Yoshihiro Noguchi, Tetsu Matsukawa and Takio Kurita, `` Appearance-Based Smile Intensity Estimation by Cascaded Support Vector Machines,'' Proc. of The 2nd International Workshop on Video Event Categorization, Tagging and Retrieval, November 8-12, 2010, Queenstown, New Zealand. [PDF]
119.Kenji Nishida, Jun Fujiki, Chikao Tsuchiya, Shinya Tanaka, and Takio Kurita, ``Road Plane Detection using Differential Homography Estimated by Pair Feature Matching of Local Regions,'' the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA2011), February 16 - 18, 2011 Innsbruck, Austria. [PDF]
120.Takio Kurita, ``Discriminant kernel derived from the optimum nonlinear discriminant analysis,'' Proceedings of International Joint Conference on Neural Networks (IJCNN2011), San Jose, California, USA, July 31 - August 5, 2011, pp.299-306. 2011.08.4.[PDF]
121.Kenji Nishida, Jun Fujiki and Takio Kurita, ``Multiple Random Subset-Kernel Learning,'' 14th International Conference on Computer Analysis of Images and Patterns (CAIP2011), Seville (Spain), 29-31 August 2011.
[PDF]
122.
Xiaoying Guo, Chie Muraki Asano, Akira Asano and Takio Kurita, ``Visual Complexity Perception and Texture Image Characteristics,'' 2011 International Conference on Biometrics and Kansei Engineering (ICBAKE 2011), pp.260-265, Kagawa University, Kagawa, Japan, Sep.19-22, 2011.
[PDF]
123.
Yasuo Ogiuchi, Masakatsu Higashikubo, Yuuki Ono, Takio Kurita and Kenji Nishida,`` Robust and Precise Measurement Method of Vehicles ans Motorcycles for Cooperative Driving Safety Support System with Combination of HOG-SVM Detection and Discreminative Pixel-Pair Tracking,'' 18th ITS World Congress on Intelligent Transportation Systems, Orland, Oct.16-20, 2011.10.20.
[PDF]
124.
Kenji Nishida, and Takio Kurita, ``Ensemble Random-Subset SVM,'' the International Joint Conference on Computational Intelligence (NCTA2011), 24-26 October, 2011, Paris, France, pp.334-339, 2011.10.24.
[PDF]
125.
Tetsu Matsukawa, and Takio Kurita, ``Discriminant Appearance Weighting for Action Recognition,'' The First Asian Conference on Pattern Recognition (ACPR'11), November 28]30, 2011, Beijing, China, pp.7-11, 2011.11.
[PDF]
126.
Akinori Hidaka, and Takio Kurita, ``Discriminant Kernels based Support Vector Machine,'' The First Asian Conference on Pattern Recognition (ACPR'11), November 28]30, 2011, Beijing, China, pp.159-163, 2011.11.
[PDF]
127.
Chikao Tsuchiya , Shinya Tanaka and Hiroyuki Furusho (Nissan), Kenji Nishida (AIST), Takio Kurita (Hiroshima University), ``Real-Time Vehicle Detection using a Single Rear Camera for a Blind Spot Warning System,'' SAE 2012 World Congress & Exhibition, 2012. (submitted)
128.
Guo Xiaoyingm, Akira Asano, Chie Muraki Asano and Takio Kurita, ``Objective Analysis of Visual Complexity Perception to the Texture Images,'' International Conference on Kansei Engineering and Emotion Research, 22-25 May, 2012 Penghu, Taiwan, 2012. pp.216-224, 2012.05.23.
129.
Kenji Nishida, Jun Fujiki, Takumi Kobayashi, Chikao Tsuchiya, Shinya Tanaka, and Takio Kurita, `` Road Region Detection by Spatio-Temporal Graph Segmentation of Optical Flows using On-Board Camera,'' Proc. of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA2012), 778-022, 2012.06.18.
130.
M.S.Kavitha, Takio Kurita, Akira Asano, and Akira Taguchi, ``Automatic Assessment of Mandibular Bone Using Support Vector Machine for the Diagnosis of Osteoporosis,'' Proc. of 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC2012), October 14-17, 2012, COEX, Seoul, Korea, pp.214-219, 2012.10.15.
131.
Akinori Hidaka and Takio Kurita, ``Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression,'' Proc. of Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012) Miyajima-Itsukushima, Hiroshima, 7th-9th November, 2012. pp.648-656.
132.
Takahishi Takeda, Toru Tamaki*, Bisser Raytchev,@Kazufumi Kaneda, Takio Kurita, Shigeto Yoshida, Yoshito Takemura, Keiichi Onji, Rie Miyaki, Shinji Tanaka, ``Self-training with unlabeld regions for NBI image recognition,'' Prof. of 21st International Conference on Pattern Recognition (ICPR 2012) November 11-15, 2012. Tsukuba, Japan, pp.25-28.
133.
Xinoying Guo, Chie Muraki Asano, Akira Asano, Takio Kurita, ``Modeling Visual Complexity of Textures Associated with Texture Characteristics, 2012 International,'' Conference of Information Science and Computer Applications (ICISCA 2012), Bali Indonesia from 19 -20 November 2012. published in Advances in Information Technology and Applied Computing, (ISSN 2251-3418), Vol.1, pp.121-126, 2012.
134.
Zhouxin Yang, and Takio Kurita, ``BOG: an extension of HOG by interpreting it as bag of features,ff Proc. of MAV2013 IAPR International Conference on Machine Vision Applications, May 20-23, 2013, Kyoto, JAPAN, pp.415-418, 2013.05.
135.
Xiaoying GUO, Takio KURITA, Chie MURAKI ASANO, Akira ASANO, ``VISUAL COMPLEXITY ASSESSMENT OF PAINTING IMAGES,ff Proc. of IEEE International Conference on Image Processing (ICIP2013), Sep.15-18, 2013, Melbourne, Australia.
136.
Takio Kurita, Kenji Watanabe, and Akinori Hidaka, `` Sparse Logistic Discriminant Analysis,ff Prof. of IEEE International Conference on System, Man, and Cybernetics, October 13-16, 2013, Manchester, UK.
137.
Zhouxin Yang, and Takio Kurita, `` Improvements to the descriptor of SIFT by BOF approaches,ff The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013), November 5-8, 2013, Okinawa, Japan, pp.95-99, 2013.11.07.
138.
Zhibin Zhang, Zuezhen Li, Takio Kurita, and Shinya Tanaka, `` Pixel-Pair Features Selection for Vehicle Tracking,ff The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013), November 5-8, 2013, Okinawa, Japan, pp.471-475, 2013.11.07.
139.
Akinori Hidaka, and Takio Kurita, ``Nonlinear Discriminant Analysis based on Probability Estimation by Gaussian Mixture Model,ff Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR2014), pp.133-142, 2014.08.20.
140.
Takio Kurita and Yayoi Harashima, ``Extraction of Dimension Reduced Features from Empirical Kernel Vector, Proc. of the 21th International Conference on Neural Information Processing (ICONIP2014), Part II, LNCS 8835,pp.9-16, 2014.11.03.