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| 2012 | ||
|---|---|---|
| 85 | Tetsu Matsukawa, Takio Kurita: Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images. Pattern Recognition 45(2): 707-719 (2012) | |
| 2011 | ||
| 84 | Kenji Nishida, Jun Fujiki, Takio Kurita: Multiple Random Subset-Kernel Learning. CAIP (1) 2011: 343-350 | |
| 83 | Kenji Nishida, Jun Fujiki, Takio Kurita: Ensemble Random-subset SVM. IJCCI (NCTA) 2011: 334-339 | |
| 82 | Takio Kurita: Discriminant Kernels derived from the optimum nonlinear discriminant analysis. IJCNN 2011: 299-306 | |
| 2010 | ||
| 81 | Keiji Shimada, Tetsu Matsukawa, Yoshihiro Noguchi, Takio Kurita: Appearance-Based Smile Intensity Estimation by Cascaded Support Vector Machines. ACCV Workshops (1) 2010: 277-286 | |
| 80 | Tetsu Matsukawa, Takio Kurita: Action Recognition Using Three-Way Cross-Correlations Feature of Local Moton Attributes. ICPR 2010: 1731-1734 | |
| 79 | Kenji Nishida, Takio Kurita, Yasuo Ogiuchi, Masakatsu Higashikubo: Visual Tracking Algorithm Using Pixel-Pair Feature. ICPR 2010: 1808-1811 | |
| 78 | Tetsu Matsukawa, Takio Kurita: Scene Classification using Spatial Relationship between Local Posterior Probabilities. VISAPP (2) 2010: 325-332 | |
| 77 | Rameswar Debnath, Takio Kurita: An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theories. Biosystems 100(1): 39-46 (2010) | |
| 76 | Tetsu Matsukawa, Takio Kurita: Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations. IEICE Transactions 93-D(10): 2870-2874 (2010) | |
| 2009 | ||
| 75 | 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. ACCV (3) 2009: 363-372 | |
| 74 | Tetsu Matsukawa, Takio Kurita: Image Classification Using Probability Higher-Order Local Auto-Correlations. ACCV (3) 2009: 384-394 | |
| 73 | Rameswar Debnath, Takio Kurita: An Evolutionary Gene Selection Method for Microarray Data Based on SVM Error Bound Theories. BIOCOMP 2009: 153-158 | |
| 72 | Akinori Hidaka, Takio Kurita: Co-occurrence of Intensity and Gradient Features for Object Detection. ICONIP (2) 2009: 38-46 | |
| 71 | Takio Kurita, Kenji Watanabe, Nobuyuki Otsu: Logistic discriminant analysis. SMC 2009: 2167-2172 | |
| 70 | Takio Kurita: Foreword. IEICE Transactions 92-D(7): 1337 (2009) | |
| 2008 | ||
| 69 | Akinori Hidaka, Takio Kurita, Nobuyuki Otsu: Object Detection by Selective Integration of HLAC Mask Features. BLISS 2008: 46-50 | |
| 68 | Kenji Watanabe, Takio Kurita: Motion Recognition by Higher Order Local Auto Correlation Features of Motion History Images. BLISS 2008: 51-55 | |
| 67 | Kenji Watanabe, Takio Kurita: Locality preserving multi-nominal logistic regression. ICPR 2008: 1-4 | |
| 66 | Akinori Hidaka, Takio Kurita: Non-Neighboring Rectangular Feature selection using Particle Swarm Optimization. ICPR 2008: 1-4 | |
| 65 | Kenji Watanabe, Takio Kurita: RANSAC-SVM for large-scale datasets. ICPR 2008: 1-4 | |
| 64 | Kenji Watanabe, Akinori Hidaka, Takio Kurita: Automatic factorization of biological signals by using Boltzmann non-negative matrix factorization. IJCNN 2008: 1122-1128 | |
| 63 | Akinori Hidaka, Takio Kurita: Fast training algorithm by Particle Swarm Optimization and random candidate selection for rectangular feature based boosted detector. IJCNN 2008: 1163-1169 | |
| 62 | Kenji Nishida, Takio Kurita: Boosting with cross-validation based feature selection for pedestrian detection. IJCNN 2008: 1250-1256 | |
| 61 | Akinori Hidaka, Kenji Nishida, Takio Kurita: Object Tracking by Maximizing Classification Score of Detector Based on Rectangle Features. IEICE Transactions 91-D(8): 2163-2170 (2008) | |
| 2007 | ||
| 60 | Hiroaki Inayoshi, Takio Kurita: Binarizing Training Samples with Multi-threshold for Viola-Jones Face Detector. ICONIP (2) 2007: 588-597 | |
| 59 | Takuya Kobayashi, Akinori Hidaka, Takio Kurita: Selection of Histograms of Oriented Gradients Features for Pedestrian Detection. ICONIP (2) 2007: 598-607 | |
| 58 | Kenji Watanabe, Takio Kurita: Automatic Factorization of Biological Signals Measured by Fluorescence Correlation Spectroscopy Using Non-negative Matrix Factorization. ICONIP (2) 2007: 798-806 | |
| 57 | Kenji Tanaka, Takio Kurita, Tohru Kawabe: Selection of Import Vectors via Binary Particle Swarm Optimization and Cross-Validation for Kernel Logistic Regression. IJCNN 2007: 1037-1042 | |
| 56 | Eisuke Adachi, Hiroaki Inayoshi, Takio Kurita: Estimation of Lane State from Car-mounted Camera Using Multiple-model Particle Filter Based on Voting Result for One-dimensional Parameter Space. MVA 2007: 323-326 | |
| 55 | Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, Martin C. Frith, Jun Kawai, Piero Carninci, Yoshihide Hayashizaki: Large-scale clustering of CAGE tag expression data. BMC Bioinformatics 8: (2007) | |
| 54 | Toshio Tanaka, Kenji Nishida, Takio Kurita: Navigation of mobile robot using location map of place cells and reinforcement learning. Systems and Computers in Japan 38(7): 65-75 (2007) | |
| 53 | Hiroyuki Shimai, Takio Kurita, Shinji Umeyama, Masaru Tanaka, Taketoshi Mishima: Adaptive background estimation based on robust statistics. Systems and Computers in Japan 38(7): 98-108 (2007) | |
| 2006 | ||
| 52 | Takio Kurita, Tatsuya Hosoi, Akinori Hidaka: Principal Component Analysis of Multi-view Images for Viewpoint-Independent Face Recognition. AVSS 2006: 55 | |
| 51 | Eisuke Adachi, Takio Kurita, Nobuyuki Otsu: Reliability index of optical flow that considers error margin of matches and stabilizes camera movement estimation. ICPR (1) 2006: 699-702 | |
| 50 | Akinori Hidaka, Kenji Nishida, Takio Kurita: Face Tracking by Maximizing Classification Score of Face Detector Based on Rectangle Features. ICVS 2006: 48 | |
| 49 | Kenji Tanaka, Takio Kurita, Friedrich Meyer, Luc Berthouze, Tohru Kawabe: Stepwise Feature Selection by Cross Validation for EEG-based Brain Computer Interface. IJCNN 2006: 4672-4677 | |
| 48 | Kenji Nishida, Takio Kurita: Kernel Feature Selection to Improve Generalization Performance of Boosting Classifiers. IPCV 2006: 627-632 | |
| 2005 | ||
| 47 | Mickael Pic, Takio Kurita: Scene change detection using Multi-class Support Vector Machine with MPEG encoding information. MVA 2005: 144-147 | |
| 46 | Mickael Pic, Takio Kurita: Adaptive Vector Quantization of Sequences of Local Blocks for Video Surveillance System. MVA 2005: 343-346 | |
| 45 | Kenji Nishida, Takio Kurita: Pedestrian Detection by Boosting Soft-Margin SVM with Local Feature Selection. MVA 2005: 402-405 | |
| 44 | Kenji Nishida, Takio Kurita: Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection. Multiple Classifier Systems 2005: 22-31 | |
| 43 | Kazuhiro Hotta, Masaru Tanaka, Takio Kurita, Taketoshi Mishima: An Efficient Search Method Based on Dynamic Attention Map by Ising Model. IEICE Transactions 88-D(10): 2286-2295 (2005) | |
| 42 | Takio Kurita, Toshiharu Taguchi: A Kernel-Based Fisher Discriminant Analysis for Face Detection. IEICE Transactions 88-D(3): 628-635 (2005) | |
| 41 | Takashi Takahashi, Takio Kurita: A robust classifier combined with an auto-associative network for completing partly occluded images. Neural Networks 18(7): 958-966 (2005) | |
| 2004 | ||
| 40 | Mickael Pic, Luc Berthouze, Takio Kurita: Adaptive Background Estimation: Computing a Pixel-Wise Learning Rate from Local Confidence and Global Correlation Values. IEICE Transactions 87-D(1): 50-57 (2004) | |
| 39 | Takio Kurita: Support Vector Machine and Generalization. JACIII 8(2): 84-92 (2004) | |
| 2003 | ||
| 38 | Takio Kurita, Mickael Pic, Takashi Takahashi: Recognition and Detection of Occluded Faces by a Neural Network Classifier with Recursive Data Reconstruction. AVSS 2003: 53- | |
| 37 | Takio Kurita, Takashi Takahashi: Viewpoint independent face recognition by competition of the viewpoint dependent classifiers. Neurocomputing 51: 181-195 (2003) | |
| 2002 | ||
| 36 | Takio Kurita, Toshiharu Taguchi: A Modification of Kernel-based Fisher Discriminant Analysis for Face Detection. FGR 2002: 300-305 | |
| 35 | Takashi Takahashi, Takio Kurita: Robust De-noising by Kernel PCA. ICANN 2002: 739-744 | |
| 34 | Takio Kurita, Takashi Takahashi, Yukifumi Ikeda: A Neural Network Classifier for Occluded Images. ICPR (3) 2002: 45-48 | |
| 33 | Kenji Nishida, Takashi Takahashi, Takio Kurita: A Topographic Kernel-based Regression Method. JCIS 2002: 521-524 | |
| 32 | Katsuya Yasumoto, Jun-ya Mizuno, Takio Kurita: Improvement of Generalization Ability of Kernel-Based Fisher Discriminant Analysis for Recognition of Japanese Sign Language Hand Pastures, "Yubi-Moji", Using K-means Method. MVA 2002: 269-272 | |
| 31 | Osamu Hasegawa, Takio Kurita: A Multi-class Pattern Recognition Method by Combined Use of Multinomial Logit Model and K-Nearest Neighbor Rule. MVA 2002: 430-434 | |
| 30 | Mickael Pic, Luc Berthouze, Takio Kurita: Adaptive Background Estimation. MVA 2002: 451-454 | |
| 29 | Osamu Hasegawa, Takio Kurita: A Kernel Logit Approach for Face and Non-Face Classification. WACV 2002: 100-104 | |
| 2001 | ||
| 28 | Hideki Asoh, Nikos A. Vlassis, Yoichi Motomura, Futoshi Asano, Isao Hara, Satoru Hayamizu, Katsunobu Itou, Takio Kurita, Toshihiro Matsui, Roland Bunschoten, Ben J. A. Kröse: Jijo-2: An Office Robot that Communicates and Learns. IEEE Intelligent Systems 16(5): 46-55 (2001) | |
| 2000 | ||
| 27 | Kazuhiro Hotta, Taketoshi Mishima, Takio Kurita, Shinji Umeyama: Face Matching through Information Theoretical Attention Points and Its Applications to Face Detection and Classification. FG 2000: 34-39 | |
| 26 | Takio Kurita, Masaru Tanaka, Kazuhiro Hotta, Hiroyuki Shimai, Taketoshi Mishima: Efficient Face Detection from News Images by Adaptive Estimation of Prior Probabilities and Ising Search. ICPR 2000: 2917-2920 | |
| 25 | Takashi Takahashi, Takio Kurita: Reconstructing Optical Flow Generated by Camera Rotation via Autoassociative Learning. IJCNN (4) 2000: 279-283 | |
| 24 | Takio Kurita, Kazuhiro Hotta, Taketoshi Mishima: Feature Ordering by Cross Validation for Face Detection. MVA 2000: 211-214 | |
| 23 | Takio Kurita, Hiroyuki Shimai, Taketoshi Mishima, Takashi Takahashi: Self-Organization of Viewpoint Dependent Face Representation by the Self-Supervised Learning and Viewpoint Independent Face Recognition by the Mixture of Classifiers. MVA 2000: 319-322 | |
| 1999 | ||
| 22 | Toshihiro Matsui, Hideki Asoh, John Fry, Yoichi Motomura, Futoshi Asano, Takio Kurita, Isao Hara, Nobuyuki Otsu: Integrated Natural Spoken Dialogue System of Jijo-2 Mobile Robot for Office Services. AAAI/IAAI 1999: 621-627 | |
| 1998 | ||
| 21 | Takio Kurita, Kazuhiro Hotta, Taketoshi Mishima: Scale and Rotation Invariant Recognition Method Using Higher-Order Local Autocorrelation Features of Log-Polar Image. ACCV (2) 1998: 89-96 | |
| 20 | Mehrdad Salami, Hidenori Sakanashi, Masaharu Tanaka, Masaya Iwata, Takio Kurita, Tetsuya Higuchi: On-Line Compression of High Precision Printer Images by Evolvable Hardware. Data Compression Conference 1998: 219-228 | |
| 19 | Takio Kurita, Satoru Hayamizu: Gesture Recognition Using HLAC Features of PARCOR Images and HMM Based Recognizer. FG 1998: 422-427 | |
| 18 | Kazuhiro Hotta, Takio Kurita, Taketoshi Mishima: Scale Invariant Face Detection Method Using Higher-Order Local Autocorrelation Features Extracted from Log-Polar Image. FG 1998: 70-75 | |
| 17 | Masaharu Tanaka, Hidenori Sakanashi, Mehrdad Salami, Masaya Iwata, Takio Kurita, Tetsuya Higuchi: Data Compression for Digital Color Electrophotographic Printer with Evolvable Hardware. ICES 1998: 106-114 | |
| 16 | Shotaro Akaho, Yoshiyasu Goto, Takio Kurita, Hiroshi Mizoguchi: Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning. ICONIP 1998: 409-412 | |
| 1997 | ||
| 15 | Takio Kurita, Yasuo Kobayashi, Taketoshi Mishima: Higher order local autocorrelation features of PARCOR images for gesture recognition. ICIP (3) 1997: 722- | |
| 1995 | ||
| 14 | Osamu Hasegawa, Katsunobu Itou, Takio Kurita, Satoru Hayamizu, Kazuyo Tanaka, Kazuhiko Yamamoto, Nobuyuki Otsu: Active Agent Oriented Multimodal Interface System. IJCAI 1995: 82-87 | |
| 13 | Takio Kurita: An Efficient Clustering Algorithm for Region Merging. IEICE Transactions 78-D(12): 1546-1551 (1995) | |
| 1994 | ||
| 12 | Takio Kurita: An Efficient Agglomerative Clustering Algorithm for Region Growing. MVA 1994: 210-213 | |
| 11 | Takio Kurita: Iterative Weighted Least Squares Algorithms for Neural Networks Classifiers. New Generation Comput. 12(4): 375-394 (1994) | |
| 10 | Takio Kurita, Iwao Sekita, Nobuyuki Otsu: Invariant distance measures for planar shapes based on complex autoregressive model. Pattern Recognition 27(7): 903-911 (1994) | |
| 9 | Masaru Tanaka, Takio Kurita, Shinji Umeyama: Image understanding via representation of the projected motion group. Pattern Recognition Letters 15(10): 993-1001 (1994) | |
| 1993 | ||
| 8 | Hitoshi Iba, Takio Kurita, Hugo de Garis, Taisuke Sato: System Identification using Structured Genetic Algorithms. ICGA 1993: 279-286 | |
| 7 | Takio Kurita: Author's reply. Pattern Recognition 26(7): 1121- (1993) | |
| 1992 | ||
| 6 | Takio Kurita: Iterative Weighted Least Squares Algorithms for Neural Networks Classifiers. ALT 1992: 77-86 | |
| 5 | Takio Kurita, Pierre Boulanger: Computation of Surface Curvature from Range Images Using Geometrically Intrinsic Weights. MVA 1992: 389-392 | |
| 4 | Iwao Sekita, Takio Kurita, Nobuyuki Otsu: Complex Autoregressive Model for Shape Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 14(4): 489-496 (1992) | |
| 3 | Takio Kurita, Nobuyuki Otsu, Nabih N. Abdelmalek: Maximum likelihood thresholding based on population mixture models. Pattern Recognition 25(10): 1231-1240 (1992) | |
| 1991 | ||
| 2 | Takio Kurita: An efficient agglomerative clustering algorithm using a heap. Pattern Recognition 24(3): 205-209 (1991) | |
| 1990 | ||
| 1 | Toshikazu Kato, Takio Kurita: Visual Interaction with Electronic Art Gallery. DEXA 1990: 234-240 | |
Colors in the list of coauthors
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