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2020 – today
- 2022
[j61]Mariko Tai, Mineichi Kudo
, Akira Tanaka, Hideyuki Imai, Keigo Kimura:
Kernelized Supervised Laplacian Eigenmap for Visualization and Classification of Multi-Label Data. Pattern Recognit. 123: 108399 (2022)- [c126]Kai Tanaka, Mineichi Kudo, Keigo Kimura:
Sensor Data Simulation with Wandering Behavior for the Elderly Living Alone. ICPR 2022: 885-891 - [c125]Shumpei Morishita, Mineichi Kudo, Keigo Kimura, Lu Sun:
Realization of Autoencoders by Kernel Methods. S+SSPR 2022: 1-10 - [c124]Keigo Kimura, Jiaqi Bao, Mineichi Kudo, Lu Sun:
Retargeted Regression Methods for Multi-label Learning. S+SSPR 2022: 203-212 - [c123]Mineichi Kudo, Keigo Kimura, Shumpei Morishita, Lu Sun:
Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings. S+SSPR 2022: 223-232 - [i3]Zhiwei Li, Lu Sun, Mineichi Kudo, Kego Kimura:
CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels. CoRR abs/2201.01079 (2022) - 2021
- [j60]Kejing Lu, Mineichi Kudo:
AdaLSH: Adaptive LSH for Solving c-Approximate Maximum Inner Product Search Problem. IEICE Trans. Inf. Syst. 104-D(1): 138-145 (2021) - [j59]Kejing Lu, Mineichi Kudo, Chuan Xiao, Yoshiharu Ishikawa:
HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search. Proc. VLDB Endow. 15(2): 246-258 (2021) - [c122]Kejing Lu, Mineichi Kudo:
MLSH: Mixed Hash Function Family for Approximate Nearest Neighbor Search in Multiple Fractional Metrics. DASFAA (2) 2021: 569-584 - [c121]Shuhei Aoki, Mineichi Kudo:
Balancing of Samples in Class Hierarchy. IWAIPR 2021: 219-228 - [c120]Tomoya Horio, Mineichi Kudo:
Feature Selection with Class Hierarchy for Imbalance Problems. IWAIPR 2021: 229-238 - [c119]Yasuyuki Kaneko, Mineichi Kudo:
SVM Based EVM for Open Space Problems. IWAIPR 2021: 239-248 - 2020
- [j58]Kejing Lu, Hongya Wang, Wei Wang, Mineichi Kudo:
VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning. Proc. VLDB Endow. 13(9): 1443-1455 (2020) - [c118]Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo:
Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier. ACML 2020: 241-256 - [c117]Kejing Lu, Mineichi Kudo:
R2LSH: A Nearest Neighbor Search Scheme Based on Two-dimensional Projected Spaces. ICDE 2020: 1045-1056
2010 – 2019
- 2019
- [j57]Lu Sun, Mineichi Kudo:
Multi-label classification by polytree-augmented classifier chains with label-dependent features. Pattern Anal. Appl. 22(3): 1029-1049 (2019) - [c116]Mariko Tai, Mineichi Kudo:
A Supervised Laplacian Eigenmap Algorithm for Visualization of Multi-label Data: SLE-ML. CIARP 2019: 525-534 - 2018
- [j56]Ryo Watanabe, Junpei Komiyama, Atsuyoshi Nakamura, Mineichi Kudo:
UCB-SC: A Fast Variant of KL-UCB-SC for Budgeted Multi-Armed Bandit Problem. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(3): 662-667 (2018) - [j55]Lu Sun, Mineichi Kudo:
Optimization of classifier chains via conditional likelihood maximization. Pattern Recognit. 74: 503-517 (2018) - 2017
- [j54]Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto:
An Online Self-Constructive Normalized Gaussian Network with Localized Forgetting. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(3): 865-876 (2017) - [j53]Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo:
An Efficient Approximate Algorithm for the 1-Median Problem on a Graph. IEICE Trans. Inf. Syst. 100-D(5): 994-1002 (2017) - [j52]Lu Sun, Mineichi Kudo, Keigo Kimura:
READER: Robust Semi-Supervised Multi-Label Dimension Reduction. IEICE Trans. Inf. Syst. 100-D(10): 2597-2604 (2017) - [j51]Ryo Watanabe, Junpei Komiyama, Atsuyoshi Nakamura, Mineichi Kudo:
KL-UCB-Based Policy for Budgeted Multi-Armed Bandits with Stochastic Action Costs. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(11): 2470-2486 (2017) - [i2]Hiroyuki Hanada, Mineichi Kudo, Atsuyoshi Nakamura:
On Practical Accuracy of Edit Distance Approximation Algorithms. CoRR abs/1701.06134 (2017) - [i1]Keigo Kimura, Lu Sun, Mineichi Kudo:
MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification. CoRR abs/1704.02592 (2017) - 2016
- [j50]Atsuyoshi Nakamura, Ichigaku Takigawa, Hisashi Tosaka, Mineichi Kudo, Hiroshi Mamitsuka:
Mining approximate patterns with frequent locally optimal occurrences. Discret. Appl. Math. 200: 123-152 (2016) - [j49]Keigo Kimura, Mineichi Kudo, Yuzuru Tanaka:
A column-wise update algorithm for nonnegative matrix factorization in Bregman divergence with an orthogonal constraint. Mach. Learn. 103(2): 285-306 (2016) - [j48]Guoliang Lu, Yiqi Zhou, Xueyong Li, Mineichi Kudo:
Efficient action recognition via local position offset of 3D skeletal body joints. Multim. Tools Appl. 75(6): 3479-3494 (2016) - [j47]Sadamori Koujaku, Ichigaku Takigawa, Mineichi Kudo, Hideyuki Imai:
Dense core model for cohesive subgraph discovery. Soc. Networks 44: 143-152 (2016) - [j46]Hideaki Konno, Mineichi Kudo, Hideyuki Imai, Masanori Sugimoto:
Whisper to normal speech conversion using pitch estimated from spectrum. Speech Commun. 83: 10-20 (2016) - [c115]Lu Sun, Mineichi Kudo, Keigo Kimura:
A Scalable Clustering-Based Local Multi-Label Classification Method. ECAI 2016: 261-268 - [c114]Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto:
Reducing Redundancy with Unit Merging for Self-constructive Normalized Gaussian Networks. ICANN (1) 2016: 444-452 - [c113]Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto:
Online EM for the Normalized Gaussian Network with Weight-Time-Dependent Updates. ICONIP (4) 2016: 538-546 - [c112]Keigo Kimura, Mineichi Kudo, Lu Sun, Sadamori Koujaku:
Fast random k-labELsets for large-scale multi-label classification. ICPR 2016: 438-443 - [c111]Lu Sun, Mineichi Kudo, Keigo Kimura:
Multi-label classification with meta-label-specific features. ICPR 2016: 1612-1617 - [c110]Syota Suzuuchi, Mineichi Kudo:
Location-associated indoor behavior analysis of multiple persons. ICPR 2016: 2079-2084 - [c109]Batzaya Norov-Erdene, Mineichi Kudo, Lu Sun, Keigo Kimura:
Locality in multi-label classification problems. ICPR 2016: 2319-2324 - [c108]Mineichi Kudo, Keigo Kimura, Michal Haindl, Hiroshi Tenmoto:
Simultaneous visualization of samples, features and multi-labels. ICPR 2016: 3603-3608 - [c107]Shunsuke Suzuki, Mineichi Kudo, Atsuyoshi Nakamura:
Sitting posture diagnosis using a pressure sensor mat. ISBA 2016: 1-6 - [c106]Keigo Kimura, Mineichi Kudo, Lu Sun:
Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification. S+SSPR 2016: 15-25 - 2015
- [j45]Akira Tanaka, Hirofumi Takebayashi, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo:
Ensemble and Multiple Kernel Regressors: Which Is Better? IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(11): 2315-2324 (2015) - [j44]Ryo Watanabe, Atsuyoshi Nakamura, Mineichi Kudo:
An improved upper bound on the expected regret of UCB-type policies for a matching-selection bandit problem. Oper. Res. Lett. 43(6): 558-563 (2015) - [j43]Xavier Lladó, Atsushi Imiya, David Mason, Constantino Carlos Reyes-Aldasoro, Kazuaki Aoki, Mineichi Kudo, Yu-Jin Zhang, Vasileios Argyriou:
Corrigendum to 'Homage to Professor Maria Petrou' [ Pattern Recognition Letters 48 (2014) 2-7]. Pattern Recognit. Lett. 54: 109 (2015) - [j42]Shuai Tao, Mineichi Kudo, Bingnan Pei, Hidetoshi Nonaka, Jun Toyama:
Multiperson Locating and Their Soft Tracking in a Binary Infrared Sensor Network. IEEE Trans. Hum. Mach. Syst. 45(5): 550-561 (2015) - [c105]Michal Haindl, Stanislav Mikes, Mineichi Kudo:
Unsupervised Surface Reflectance Field Multi-segmenter. CAIP (1) 2015: 261-273 - [c104]Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo:
An Algorithm for Influence Maximization in a Two-Terminal Series Parallel Graph and its Application to a Real Network. Discovery Science 2015: 275-283 - [c103]Keigo Kimura, Mineichi Kudo:
Variable Selection for Efficient Nonnegative Tensor Factorization. ICDM 2015: 805-810 - [c102]Lu Sun, Mineichi Kudo:
Polytree-Augmented Classifier Chains for Multi-Label Classification. IJCAI 2015: 3834-3840 - [c101]Ayako Mikami, Mineichi Kudo, Atsuyoshi Nakamura:
Diversity Measures and Margin Criteria in Multi-class Majority Vote Ensemble. MCS 2015: 27-37 - [c100]Sadamori Koujaku, Mineichi Kudo, Ichigaku Takigawa, Hideyuki Imai:
Community Change Detection in Dynamic Networks in Noisy Environment. WWW (Companion Volume) 2015: 793-798 - 2014
- [j41]Guoliang Lu, Mineichi Kudo:
Learning action patterns in difference images for efficient action recognition. Neurocomputing 123: 328-336 (2014) - [j40]Tomomi Endo, Kazuhiro Omura, Mineichi Kudo:
Analysis of Relationship between RéNyi Entropy and Marginal Bayes error and its Application to Weighted naïVE Bayes Classifiers. Int. J. Pattern Recognit. Artif. Intell. 28(7) (2014) - [j39]Koji Ouchi, Atsuyoshi Nakamura, Mineichi Kudo:
An efficient construction and application usefulness of rectangle greedy covers. Pattern Recognit. 47(3): 1459-1468 (2014) - [j38]Hiroyuki Hanada, Mineichi Kudo, Atsuyoshi Nakamura:
Average-case linear-time similar substring searching by the q-gram distance. Theor. Comput. Sci. 530: 23-41 (2014) - [c99]Anton Milan, Stefan Roth, Konrad Schindler, Mineichi Kudo:
Privacy Preserving Multi-target Tracking. ACCV Workshops (3) 2014: 519-530 - [c98]Keigo Kimura, Yuzuru Tanaka, Mineichi Kudo:
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization. ACML 2014 - [c97]Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo:
Theoretical Analyses on Ensemble and Multiple Kernel Regressors. ACML 2014 - [c96]Kenshiro Nishikawa, Mineichi Kudo:
Group Sleepiness Measurement in Classroom. AMMDS 2014: 64-72 - [c95]Hideaki Konno, Rinako Sato, Hideyuki Imai, Mineichi Kudo:
Deterioration of intelligibility in whispered Japanese speech. APSIPA 2014: 1-4 - [c94]Hiroshi Tsukioka, Mineichi Kudo:
Selection of Features in Accord with Population Drift. ICPR 2014: 1591-1596 - [c93]Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo:
Analyses on Generalization Error of Ensemble Kernel Regressors. S+SSPR 2014: 273-281 - 2013
- [j37]Atsuyoshi Nakamura, Tomoya Saito, Ichigaku Takigawa, Mineichi Kudo, Hiroshi Mamitsuka:
Fast algorithms for finding a minimum repetition representation of strings and trees. Discret. Appl. Math. 161(10-11): 1556-1575 (2013) - [j36]Guoliang Lu, Mineichi Kudo:
Self-Similarities in Difference Images: A New Cue for Single-Person Oriented Action Recognition. IEICE Trans. Inf. Syst. 96-D(5): 1238-1242 (2013) - [j35]Guoliang Lu, Mineichi Kudo, Jun Toyama:
Temporal segmentation and assignment of successive actions in a long-term video. Pattern Recognit. Lett. 34(15): 1936-1944 (2013) - [c92]Yingmei Piao, Mineichi Kudo:
How Do Facial Expressions Contribute to Age Prediction? ACPR 2013: 882-886 - [c91]Hideaki Konno, Hideo Kanemitsu, Nobuyuki Takahashi, Mineichi Kudo:
Acoustic characteristics related to the perceptual pitch in whispered vowels. ASRU 2013: 245-249 - [c90]Tomomi Endo, Mineichi Kudo:
Weighted Naïve Bayes Classifiers by Renyi Entropy. CIARP (1) 2013: 149-156 - 2012
- [j34]Guoliang Lu, Mineichi Kudo, Jun Toyama:
Selection of Characteristic Frames in Video for Efficient Action Recognition. IEICE Trans. Inf. Syst. 95-D(10): 2514-2521 (2012) - [j33]Shen Pan, Mineichi Kudo:
Recognition of Wood Porosity Based on Direction Insensitive Feature Sets. Trans. Mach. Learn. Data Min. 5(1): 45-62 (2012) - [j32]Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka:
Privacy-Preserved Behavior Analysis and Fall Detection by an Infrared Ceiling Sensor Network. Sensors 12(12): 16920-16936 (2012) - [c89]Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo:
Fast Approximation Algorithm for the 1-Median Problem. Discovery Science 2012: 169-183 - [c88]Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama:
Camera view usage of binary infrared sensors for activity recognition. ICPR 2012: 1759-1762 - [c87]Guoliang Lu, Mineichi Kudo, Jun Toyama:
Action recognition via sparse representation of characteristic frames. ICPR 2012: 3268-3271 - [c86]Atsuyoshi Nakamura, Hisashi Tosaka, Mineichi Kudo:
Frequent Approximate Substring Pattern Mining Using Locally Optimal Occurrence Counting. IIAI-AAI 2012: 54-59 - [c85]Hironobu Yasuda, Mineichi Kudo:
Speech rate change detection in martingale framework. ISDA 2012: 859-864 - [c84]Kazuhiro Omura, Mineichi Kudo, Tomomi Endo, Tetsuya Murai:
Weighted naïve Bayes classifier on categorical features. ISDA 2012: 865-870 - [c83]Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo:
Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric. SSPR/SPR 2012: 345-353 - [e2]Georgy L. Gimel'farb, Edwin R. Hancock, Atsushi Imiya, Arjan Kuijper, Mineichi Kudo, Shinichiro Omachi, Terry Windeatt, Keiji Yamada:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012. Proceedings. Lecture Notes in Computer Science 7626, Springer 2012, ISBN 978-3-642-34165-6 [contents] - 2011
- [j31]Tetsuji Takahashi, Mineichi Kudo, Atsuyoshi Nakamura:
Construction of convex hull classifiers in high dimensions. Pattern Recognit. Lett. 32(16): 2224-2230 (2011) - [c82]Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama:
Person Authentication and Activities Analysis in an Office Environment Using a Sensor Network. AmI Workshops 2011: 119-127 - [c81]Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama:
Person Localization and Soft Authentication Using an Infrared Ceiling Sensor Network. CAIP (2) 2011: 122-129 - [c80]Guoliang Lu, Mineichi Kudo, Jun Toyama:
Hierarchical Foreground Detection in Dynamic Background. CAIP (2) 2011: 413-420 - [c79]Hiroyuki Hanada, Atsuyoshi Nakamura, Mineichi Kudo:
A practical comparison of edit distance approximation algorithms. GrC 2011: 231-236 - [c78]Guoliang Lu, Mineichi Kudo, Jun Toyama:
Robust human pose estimation from corrupted images with partial occlusions and noise pollutions. GrC 2011: 433-438 - [c77]Hisataka Nakane, Jun Toyama, Mineichi Kudo:
Fatigue detection using a pressure sensor chair. GrC 2011: 490-495 - [c76]Kazuhiro Omura, Kazuaki Aoki, Mineichi Kudo:
Attribute value reduction for gaining simpler rules. GrC 2011: 527-532 - [c75]Koji Ouchi, Atsuyoshi Nakamura, Mineichi Kudo:
Efficient construction and usefulness of hyper-rectangle greedy covers. GrC 2011: 533-538 - [c74]Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama:
Recording the Activities of Daily Living based on person localization using an infrared ceiling sensor network. GrC 2011: 647-652 - [c73]Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi:
Theoretical analyses on a class of nested RKHS's. ICASSP 2011: 2072-2075 - [c72]Shen Pan, Mineichi Kudo:
Recognition of Porosity in Wood Microscopic Anatomical Images. ICDM 2011: 147-160 - [c71]Atsuyoshi Nakamura, Mineichi Kudo:
Packing Alignment: Alignment for Sequences of Various Length Events. PAKDD (2) 2011: 234-245 - [c70]Hidetoshi Nonaka, Shuai Tao, Jun Toyama, Mineichi Kudo:
Ceiling Sensor Network for Soft Authentication and Person Tracking using Equilibrium Line. PECCS 2011: 218-223 - [e1]Tzung-Pei Hong, Yasuo Kudo, Mineichi Kudo, Tsau Young Lin, Been-Chian Chien, Shyue-Liang Wang, Masahiro Inuiguchi, Guilong Liu:
2011 IEEE International Conference on Granular Computing, GrC-2011, Kaohsiung, Taiwan, November 8-10, 2011. IEEE Computer Society 2011, ISBN 978-1-4577-0372-0 [contents] - 2010
- [j30]Jun Toyama, Mineichi Kudo, Hideyuki Imai:
Probably correct k-nearest neighbor search in high dimensions. Pattern Recognit. 43(4): 1361-1372 (2010) - [j29]Kenji Tabata, Maiko Sato, Mineichi Kudo:
Data compression by volume prototypes for streaming data. Pattern Recognit. 43(9): 3162-3176 (2010) - [c69]Taishi Uchiya, Atsuyoshi Nakamura, Mineichi Kudo:
Algorithms for Adversarial Bandit Problems with Multiple Plays. ALT 2010: 375-389 - [c68]Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi:
A Relationship Between Generalization Error and Training Samples in Kernel Regressors. ICPR 2010: 1421-1424 - [c67]Tetsuji Takahashi, Mineichi Kudo:
Margin Preserved Approximate Convex Hulls for Classification. ICPR 2010: 4052-4055 - [c66]Kazuaki Aoki, Mineichi Kudo:
A top-down construction of class decision trees with selected features and classifiers. HPCS 2010: 390-398 - [c65]Atsuyoshi Nakamura, Tomoya Saito, Ichigaku Takigawa, Hiroshi Mamitsuka, Mineichi Kudo:
Algorithms for Finding a Minimum Repetition Representation of a String. SPIRE 2010: 185-190 - [c64]Kazuki Tsuji, Mineichi Kudo, Akira Tanaka:
Localized Projection Learning. SSPR/SPR 2010: 90-99
2000 – 2009
- 2009
- [j28]Ichigaku Takigawa, Mineichi Kudo, Atsuyoshi Nakamura:
Convex sets as prototypes for classifying patterns. Eng. Appl. Artif. Intell. 22(1): 101-108 (2009) - [j27]Taisuke Hosokawa, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama:
Soft authentication using an infrared ceiling sensor network. Pattern Anal. Appl. 12(3): 237-249 (2009) - [j26]Masafumi Yamada, Kazuhiro Kamiya, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama:
Soft authentication and behavior analysis using a chair with sensors attached: hipprint authentication. Pattern Anal. Appl. 12(3): 251-260 (2009) - [c63]Tetsuji Takahashi, Mineichi Kudo, Atsuyoshi Nakamura:
Classifier Selection in a Family of Polyhedron Classifiers. CIARP 2009: 441-448 - [c62]Mineichi Kudo, Jun Toyama, Hideyuki Imai:
A Fast Nearest Neighbor Method Using Empirical Marginal Distribution. KES (2) 2009: 333-339 - [c61]Satoshi Shirai, Mineichi Kudo, Atsuyoshi Nakamura:
Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting. MCS 2009: 22-31 - [c60]Maiko Sato, Mineichi Kudo, Jun Toyama:
Clustering and Density Estimation for Streaming Data using Volume Prototypes. PRIS 2009: 39-48 - 2008
- [j25]Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura:
Classification Based on Consistent Itemset Rules. Trans. Mach. Learn. Data Min. 1(1): 17-30 (2008) - [j24]Mineichi Kudo, Tetsuya Murai:
Extended DNF Expression and Variable Granularity in Information Tables. IEEE Trans. Fuzzy Syst. 16(2): 285-298 (2008) - [c59]Atsuyoshi Nakamura, Mineichi Kudo:
What Sperner Family Concept Class is Easy to Be Enumerated? ICDM 2008: 482-491 - [c58]Kazuhiro Kamiya, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama:
Sitting posture analysis by pressure sensors. ICPR 2008: 1-4 - [c57]Mineichi Kudo, Atsuyoshi Nakamura, Ichigaku Takigawa:
Classification by reflective convex hulls. ICPR 2008: 1-4 - [c56]Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura:
Classification by bagged consistent itemset rules. ICPR 2008: 1-4 - [c55]Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi:
Optimal Kernel in a Class of Kernels with an Invariant Metric. SSPR/SPR 2008: 530-539 - [c54]Kazuaki Aoki, Mineichi Kudo:
Feature and Classifier Selection in Class Decision Trees. SSPR/SPR 2008: 562-571 - [c53]Hiroshi Tenmoto, Mineichi Kudo:
Soft Feature Selection by Using a Histogram-Based Classifier. SSPR/SPR 2008: 572-581 - [c52]