Publications (JP)

In our laboratory we conduct experiments and analyze state of art techniques in pattern recognition, information design and machine learning, let us share our publications list with you.

 

Journal Papers

 

1.  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.

2.  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)

3.  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.

4.  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.

5.  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

5.  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.

6.  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

7.  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.

8.  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.

9.  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.

10.  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,’’ the Journal of Chemical Information and Modeling (SAR QSAR Environ Res. 2013 Jan 25. DOI:10.1080/1062936X.2012.762425 [Epub ahead of print])

11.  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.

12.  Zhouxin YANG, Takio KURITA, `` Improvements of local descriptor in HOG/SIFT by BOF approach,’’ IEICE Trans. on Fundamentals, Vol.E97-D, No.5,pp.1293-1303, May. 2014.

 

13.  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.

 

Conference Proceedings

 

1. 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]

2. 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]

3 .Kenji Nishida, Takio Kurita, and Masaharu Higashikubo, `` Online Selection of Discriminative Pixel-Pair Feature for Tracking,’’ Proc. of IASTED Conf. on Signal Processing, Pattern Recognition and Applications   (SPPRA 2010), Innsbruck, Austria, pp. 678-064, February 17 – 19, 2010. [PDF]

4.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.

5.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]

6.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]

7.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]

8.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]

9.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]

10.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]

11.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]

12. 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]

13. 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]

14. 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]

15. Tetsu Matsukawa, and Takio Kurita, ``Discriminant Appearance Weighting for Action Recognition,'' The First Asian Conference on Pattern Recognition (ACPR'11), November 2830, 2011, Beijing, China, pp.7-11, 2011.11. [PDF]

16. Akinori Hidaka, and Takio Kurita, ``Discriminant Kernels based Support Vector Machine,'' The First Asian Conference on Pattern Recognition (ACPR'11), November 2830, 2011, Beijing, China, pp.159-163, 2011.11. [PDF]

17. 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)

18. 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.

19. 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.

20. 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.

21. 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.

22. 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.

23. 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.

24. Zhouxin Yang, and Takio Kurita, ``BOG: an extension of HOG by interpreting it as bag of features,’’ Proc. of MAV2013 IAPR International Conference on Machine Vision Applications, May 20-23, 2013, Kyoto, JAPAN, pp.415-418, 2013.05.

25. Xiaoying GUO, Takio KURITA, Chie MURAKI ASANO, Akira ASANO, ``VISUAL COMPLEXITY ASSESSMENT OF PAINTING IMAGES,’’ Proc. of IEEE International Conference on Image Processing (ICIP2013), Sep.15-18, 2013, Melbourne, Australia.

26. Takio Kurita, Kenji Watanabe, and Akinori Hidaka, `` Sparse Logistic Discriminant Analysis,’’ Prof. of IEEE International Conference on System, Man, and Cybernetics, October 13-16, 2013, Manchester, UK.

27. Zhouxin Yang, and Takio Kurita, `` Improvements to the descriptor of SIFT by BOF approaches,’’ The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013), November 5-8, 2013, Okinawa, Japan, pp.95-99, 2013.11.07.

28. Zhibin Zhang, Zuezhen Li, Takio Kurita, and Shinya Tanaka, `` Pixel-Pair Features Selection for Vehicle Tracking,’’ The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013), November 5-8, 2013, Okinawa, Japan, pp.471-475, 2013.11.07.

29. Akinori Hidaka, and Takio Kurita, ``Nonlinear Discriminant Analysis based on Probability Estimation by Gaussian Mixture Model,’’ Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR2014), pp.133-142, 2014.08.20.

 

 

30. 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.

Team Members (EN)

Our lab has many active members that are dedicated to work hard to obtain results that up to the international research level, have a look and contact us to get enlightened.

 

 

 

 

Takio Kurita

 

He received the B.Eng. degree from Nagoya Institute of Technology and the Dr. Eng. degree from the University of Tsukuba, in 1981 and in 1993, respectively. He joined the Electrotechnical Laboratory, AIST, MITI in 1981. From 1990 to 1991 he was a visiting research scientist at Institute for Information Technology, National Research Council Canada. From 2001 to 2009, he was a deputy director of Nueroscience ResearchInstitute, National Institute of Advanced Industrial Science and Technology (AIST). Also he was a Professor at Graduate School of Systems and Information Engineering, University of Tsukuba from 2002 to 2009. He is currently a Professor at Hiroshima University. His current research interests include statistical pattern recognition and its applications to image recognition. He is a member of the IEEE, the IPSJ, the IEICE of Japan, Japanese Neural Network Society, The Japanease Society of Artificial Intelligence.

 

 

 

 

Novanto Yudistira

 

I am a student at Kurita Lab. 

 

 
 

Yang

 

I am a student at Kurita Lab. 

  
 

Ryo Nomura

 

I am a student at Kurita Lab. 

 

 
 

 Motaz Sabri

 

He is a software professional and QA engineer with more than 4 years of combined market intelligence, competitive intelligence and Internet research experience. My focus has been on deep web sourcing, executive HCI and security of networks. he enjoys doing software management with professionals from any industry on a global scale and encourage you to contact me at any time! 

 

 

 

Ryu

 

I am a student at Kurita Lab. 

  
 

 Ryu

 

I am a student at Kurita Lab. 

 

 

博士論文

[2013年9月] Xiaoying Guo, Modeling the perception of visual complexity of texture images and painting images 

[2012年6月] Muthu Subash KAVITHA, Automatic system for diagnosing osteoporosis based on dental panoramic radiographs using statistical classification techniques (歯科パノラマX線写真にもとづく統計的分類技術を用いた骨粗鬆症自動診断システム) 

修士論文

[2015年3月] 原島 やよい, Baof-of-Featuresによる画像認識のための特徴抽出手法の検討 

[2015年3月] Xuezhen Li, Nonlinear Discriminant Analysis using K-Nearest-Neighbor Estimation 

[2014年9月] Yilim Du, Sparse representation using kernel based auto associative memory 

[2014年9月] Yuan Yi, SIFT Descriptor based on Complementary Color Space 

[2014年3月] Pengliang Wu, Digital Photo Quality Assessment by Machine Learning Techniques 

[2014年3月] Zhiming Gu, Person Reidentification Across Multiple Cameras 

[2013年9月] Zhouxin Yang, Improvements of local descriptor in HOG/SIFT by BOF approach 

[2013年9月] Zhibin Zhang, Pixel-Pair Features Selection for Vehicle Tracking 

卒業論文

[2015年3月] 斉藤 幸子、「Support Vector Machineを用いた切り絵風画像生成」

[2015年3月] 徳田 博明、「異なる状況で撮影した画像中の人物が同じかどうかの判定法の性能評価」

[2014年3月] 野村 亮、「スペクトラム特徴を用いた機械学習による楽器音識別」

[2014年3月] 高橋 康平、「経験カーネル特徴に基づく識別に有効な特徴の再構成」

[2013年3月] 原嶋 やよい、「カラー特徴と形状特徴を用いた絵画の画像の自動判別」

[2012年3月] 間下 恭平、「Decremental SVMを用いたleave-one-out法によるSVMのパラメータ探索」

数理情報科学演習レポート

[2015年3月] 稲葉知彦、「Word2vecによる関連語検索」 

[2013年3月] 高橋 康平、「次元圧縮によるカーネル関数を用いたサポートベクターマシンの汎化性能の向上」 

[2012年3月] 原嶋 やよい、「Bag of FeaturesとSVMを用いた写実的な絵画と抽象的な絵画の自動判別」 

[2012年3月] 徳田 博明、「東日本大震災におけるがれき画像の識別」 

 

Partnership (EN)

Our laboratory has connections and joint research efforts with the following institutes:

 

 

 

 

 

 The University of Toronto (U of T, UToronto, or Toronto) is a public research university in Toronto, Ontario, Canada, situated on the grounds that surround Queen's Park. It was founded by royal charter in 1827 as King's College, the first institution of higher learning in the colony of Upper Canada. Originally controlled by the Church of England, the university assumed the present name in 1850 upon becoming a secular institution. As a collegiate university, it comprises twelve colleges that differ in character and history, each retaining substantial autonomy on financial and institutional affairs. It has two satellite campuses located in Scarborough and Mississauga.

 

 

 

 

Union University is a private, evangelical Christian, liberal arts university located in Jackson, Tennessee, with additional campuses in Germantown and Hendersonville. The university is affiliated with the Tennessee Baptist Convention and relates to the Southern Baptist Convention.

 

 

Baylor University is a private Baptist university in Waco, Texas. Chartered in 1845 by the Republic of Texas, Baylor is the oldest continuously operating university in Texas and was one of the first educational institutions west of the Mississippi River in the United States. The university's 1,000-acre campus is located on the banks of the Brazos River next to freeway I-35, between the Dallas-Fort Worth Metroplex and Austin. Baylor University is accredited by the Southern Association of Colleges and Schools. Baylor is notable for its law, medicine, business, science, music and English programs.

 

 

Princeton University is a private Ivy League research university in Princeton, New Jersey. Founded in 1746 in Elizabeth as the College of New Jersey, Princeton was the fourth chartered institution of higher education in the American colonies and thus one of the nine Colonial Colleges established before the American Revolution. The institution moved to Newark in 1747, then to the current site nine years later, where it was renamed Princeton University in 1896.

 

 

 

Newcastle University (formally, the University of Newcastle upon Tyne) is a public research university located in Newcastle upon Tyne in the North-East of England. The University can trace its origins to a School of Medicine and Surgery (later the College of Medicine), established in 1834, and to the College of Physical Science (later renamed Armstrong College), founded in 1871. These two colleges came to form one division of the federal University of Durham, with the Durham Colleges forming the other. The Newcastle colleges merged to form King's College in 1937. In 1963, following an Act of Parliament, King's College became the University of Newcastle upon Tyne, and latterly, Newcastle University.

 

The University of Bristol is a red brick research university located in Bristol, United Kingdom. It received its Royal Charter in 1909, and its predecessor institution, University College, Bristol, had been in existence since 1876.

  

 

 

 

Tulane University of Louisiana is a private, nonsectarian research university located in New Orleans, Louisiana, United States. Originally founded as a public medical college in 1834, the school grew into a comprehensive university in 1847. The institution was eventually privatized under the endowments of Paul Tulane and Josephine Louise Newcomb in 1884. Tulane is a member of the Association of American Universities.

 

 

 

 The University of Liverpool is a public university based in the city of Liverpool, England. Founded as a college in 1881, it gained its royal charter in 1903 with the ability to award degrees and is also known to be one of the six original "red brick" civic universities. It comprises three faculties organised into 35 departments and schools. It is a founding member of the Russell Group of research-intensive universities, the N8 Group for research collaboration and the University Management school is AACSB accredited.

 

 

Publications (EN)

In our laboratory we conduct experiments and analyze state of art techniques in pattern recognition, information design and machine learning, let us share our publications list with you.

 

 

Journal Papers

 

1.  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.

2.  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)

3.  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.

4.  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.

5.  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

5.  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.

6.  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

7.  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.

8.  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.

9.  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.

10.  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,’’ the Journal of Chemical Information and Modeling (SAR QSAR Environ Res. 2013 Jan 25. DOI:10.1080/1062936X.2012.762425 [Epub ahead of print])

11.  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.

12.  Zhouxin YANG, Takio KURITA, `` Improvements of local descriptor in HOG/SIFT by BOF approach,’’ IEICE Trans. on Fundamentals, Vol.E97-D, No.5,pp.1293-1303, May. 2014.

 

13.  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.

 

Conference Proceedings

 

1. 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]

2. 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]

3 .Kenji Nishida, Takio Kurita, and Masaharu Higashikubo, `` Online Selection of Discriminative Pixel-Pair Feature for Tracking,’’ Proc. of IASTED Conf. on Signal Processing, Pattern Recognition and Applications   (SPPRA 2010), Innsbruck, Austria, pp. 678-064, February 17 – 19, 2010. [PDF]

4.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.

5.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]

6.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]

7.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]

8.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]

9.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]

10.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]

11.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]

12. 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]

13. 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]

14. 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]

15. Tetsu Matsukawa, and Takio Kurita, ``Discriminant Appearance Weighting for Action Recognition,'' The First Asian Conference on Pattern Recognition (ACPR'11), November 2830, 2011, Beijing, China, pp.7-11, 2011.11. [PDF]

16. Akinori Hidaka, and Takio Kurita, ``Discriminant Kernels based Support Vector Machine,'' The First Asian Conference on Pattern Recognition (ACPR'11), November 2830, 2011, Beijing, China, pp.159-163, 2011.11. [PDF]

17. 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)

18. 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.

19. 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.

20. 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.

21. 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.

22. 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.

23. 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.

24. Zhouxin Yang, and Takio Kurita, ``BOG: an extension of HOG by interpreting it as bag of features,’’ Proc. of MAV2013 IAPR International Conference on Machine Vision Applications, May 20-23, 2013, Kyoto, JAPAN, pp.415-418, 2013.05.

25. Xiaoying GUO, Takio KURITA, Chie MURAKI ASANO, Akira ASANO, ``VISUAL COMPLEXITY ASSESSMENT OF PAINTING IMAGES,’’ Proc. of IEEE International Conference on Image Processing (ICIP2013), Sep.15-18, 2013, Melbourne, Australia.

26. Takio Kurita, Kenji Watanabe, and Akinori Hidaka, `` Sparse Logistic Discriminant Analysis,’’ Prof. of IEEE International Conference on System, Man, and Cybernetics, October 13-16, 2013, Manchester, UK.

27. Zhouxin Yang, and Takio Kurita, `` Improvements to the descriptor of SIFT by BOF approaches,’’ The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013), November 5-8, 2013, Okinawa, Japan, pp.95-99, 2013.11.07.

28. Zhibin Zhang, Zuezhen Li, Takio Kurita, and Shinya Tanaka, `` Pixel-Pair Features Selection for Vehicle Tracking,’’ The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013), November 5-8, 2013, Okinawa, Japan, pp.471-475, 2013.11.07.

29. Akinori Hidaka, and Takio Kurita, ``Nonlinear Discriminant Analysis based on Probability Estimation by Gaussian Mixture Model,’’ Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR2014), pp.133-142, 2014.08.20.

 

 

30. 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.

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