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Bao-Liang Lu: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yang Yang, Bao-Liang Lu
    Extracting Features from Protein Sequences Using Chinese Segmentation Techniques for Subcellular Localization. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:288-295 [Conf]
  2. Hai Zhao, Bao-Liang Lu
    A Modular k-Nearest Neighbor Classification Method for Massively Parallel Text Categorization. [Citation Graph (0, 0)][DBLP]
    CIS, 2004, pp:867-872 [Conf]
  3. Bao-Liang Lu, Jonghan Shin, Michinori Ichikawa
    Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:601-608 [Conf]
  4. Qing Ma, Bao-Liang Lu, Masaki Murata, Michinori Ichikawa, Hitoshi Isahara
    On-Line Error Detection of Annotated Corpus Using Modular Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:1185-1192 [Conf]
  5. Zhi-Gang Fan, Bao-Liang Lu
    Fast Recognition of Multi-View Faces with Feature Selection. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:76-81 [Conf]
  6. Zhi-Gang Fan, Bao-Liang Lu
    Multi-view Face Recognition with Min-Max Modular SVMs. [Citation Graph (0, 0)][DBLP]
    ICNC (2), 2005, pp:396-399 [Conf]
  7. Hui-Cheng Lian, Bao-Liang Lu, Erina Takikawa, Satoshi Hosoi
    Gender Recognition Using a Min-Max Modular Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    ICNC (2), 2005, pp:438-441 [Conf]
  8. Jing Li, Bao-Liang Lu, Michinori Ichikawa
    An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2005, pp:293-302 [Conf]
  9. Hai Zhao, Bao-Liang Lu
    A General Procedure for Combining Binary Classifiers and Its Performance Analysis. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2005, pp:303-312 [Conf]
  10. Zhi-Gang Fan, Bao-Liang Lu
    Fast Learning for Statistical Face Detection. [Citation Graph (0, 0)][DBLP]
    ICONIP (2), 2006, pp:187-196 [Conf]
  11. Zhi-Gang Fan, Kaian Wang, Bao-Liang Lu
    Feature Selection for Fast Image Classification with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:1026-1031 [Conf]
  12. Bin Huang, Bao-Liang Lu
    Fault Diagnosis for Industrial Images Using a Min-Max Modular Neural Network. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:842-847 [Conf]
  13. Bao-Liang Lu, Masami Ito
    Decomposition and Parallel Learning of Imbalanced Classification Problems by Min-Max Modular Neural Network. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:199-202 [Conf]
  14. Yun Li, Bao-Liang Lu, Zhong-Fu Wu
    A Hybrid Method of Unsupervised Feature Selection Based on Ranking. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2006, pp:687-690 [Conf]
  15. Bao-Liang Lu, Michinori Ichikawa
    Emergence of Learning: An Approach to Coping with NP-Complete Problems in Learning. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:159-164 [Conf]
  16. Zhi-Gang Fan, Bao-Liang Lu
    An Adjusted Gaussian Skin-Color Model Based on Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:804-809 [Conf]
  17. Hui-Cheng Lian, Bao-Liang Lu
    Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:202-209 [Conf]
  18. Jing Li, Bao-Liang Lu, Michinori Ichikawa
    Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:467-472 [Conf]
  19. Jun Luo, Bao-Liang Lu
    Gender Recognition Using a Min-Max Modular Support Vector Machine with Equal Clustering. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:210-215 [Conf]
  20. Kaian Wang, Hai Zhao, Bao-Liang Lu
    Task Decomposition Using Geometric Relation for Min-Max Modular SVMs. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:887-892 [Conf]
  21. Yimin Wen, Bao-Liang Lu
    A Cascade Method for Reducing Training Time and the Number of Support Vectors. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:480-486 [Conf]
  22. Yimin Wen, Bao-Liang Lu
    A Hierarchical and Parallel Method for Training Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:881-886 [Conf]
  23. Yang Yang, Bao-Liang Lu
    Structure Pruning Strategies for Min-Max Modular Network. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:646-651 [Conf]
  24. Yang Yang, Bao-Liang Lu
    Prediction of Protein Subcellular Multi-locations with a Min-Max Modular Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:667-673 [Conf]
  25. Hai Zhao, Bao-Liang Lu
    Analysis of Fault Tolerance of a Combining Classifier. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:888-893 [Conf]
  26. Hai Zhao, Bao-Liang Lu
    Improvement on Response Performance of Min-Max Modular Classifier by Symmetric Module Selection. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2005, pp:39-44 [Conf]
  27. Hai Zhao, Bao-Liang Lu
    A Modular Reduction Method for k-NN Algorithm with Self-recombination Learning. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:537-544 [Conf]
  28. Bao-Liang Lu, Masami Ito
    Task Decomposition Based on Class Relations: A Modular Neural Network Architecture for Pattern Classification. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:330-339 [Conf]
  29. Bao-Liang Lu, Masami Ito
    Decomposing and Parallel Learning of Large-Scale Pattern Recognition Problems using Min-Max Modular Neural Network. [Citation Graph (0, 0)][DBLP]
    NC, 1998, pp:703-709 [Conf]
  30. Bao-Liang Lu, Qing Ma, Michinori Ichikawa, Hitoshi Isahara
    Efficient Part-of-Speech Tagging with a Min-Max Modular Neural-Network Model. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:19, n:1-2, pp:65-81 [Journal]
  31. Jonghan Shin, Bao-Liang Lu, Arkadi Talnov, Gen Matsumoto, Jurij Brankack
    Reading auditory discrimination behaviour of freely moving rats from hippocampal EEG. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:1557-1566 [Journal]
  32. Yun Li, Bao-Liang Lu, Zhong-Fu Wu
    Hierarchical fuzzy filter method for unsupervised feature selection. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2007, v:18, n:2, pp:157-169 [Journal]
  33. Bao-Liang Lu, Koji Ito
    Converting general nonlinear programming problems into separable programming problems with feedforward neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:7, pp:1059-1074 [Journal]
  34. Qing Ma, Bao-Liang Lu, Hitoshi Isahara, Michinori Ichikawa
    Part of speech tagging with min-max modular neural networks. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2002, v:33, n:7, pp:30-39 [Journal]
  35. Ke Wu, Bao-Liang Lu, Masao Uchiyama, Hitoshi Isahara
    A Probabilistic Approach to Feature Selection for Multi-class Text Categorization. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2007, pp:1310-1317 [Conf]
  36. Yimin Wen, Bao-Liang Lu
    A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ISNN (3), 2007, pp:525-534 [Conf]
  37. Ke Wu, Bao-Liang Lu
    Cross-Lingual Document Clustering. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2007, pp:956-963 [Conf]
  38. Yimin Wen, Bao-Liang Lu
    Incremental Learning of Support Vector Machines by Classifier Combining. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2007, pp:904-911 [Conf]

  39. A Refinement Framework for Cross Language Text Categorization. [Citation Graph (, )][DBLP]


  40. Semantic Similarity Definition over Gene Ontology by Further Mining of the Information Content. [Citation Graph (, )][DBLP]


  41. Classification of Protein Sequences Based on Word Segmentation Methods. [Citation Graph (, )][DBLP]


  42. String Kernels with Feature Selection for SVM Protein Classification. [Citation Graph (, )][DBLP]


  43. A Comparative Study on Feature Extraction from Protein Sequences for Subcellular Localization Prediction. [Citation Graph (, )][DBLP]


  44. Making Large-Scale Nyström Approximation Possible. [Citation Graph (, )][DBLP]


  45. A comparative study on two large-scale hierarchical text classification tasks' solutions. [Citation Graph (, )][DBLP]


  46. A Framework for Multi-view Gender Classification. [Citation Graph (, )][DBLP]


  47. Incorporating Domain Knowledge into a Min-Max Modular Support Vector Machine for Protein Subcellular Localization. [Citation Graph (, )][DBLP]


  48. Gender Classification Based on Support Vector Machine with Automatic Confidence. [Citation Graph (, )][DBLP]


  49. Gender Classification by Combining Facial and Hair Information. [Citation Graph (, )][DBLP]


  50. Semi-Supervised Clustering for Vigilance Analysis Based on EEG. [Citation Graph (, )][DBLP]


  51. Learning Concepts from Large-Scale Data Sets by Pairwise Coupling with Probabilistic Outputs. [Citation Graph (, )][DBLP]


  52. Learning Imbalanced Data Sets with a Min-Max Modular Support Vector Machine. [Citation Graph (, )][DBLP]


  53. Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers. [Citation Graph (, )][DBLP]


  54. A New Supervised Clustering Algorithm Based on Min-Max Modular Network with Gaussian-Zero-Crossing Functions. [Citation Graph (, )][DBLP]


  55. Large-scale patent classification with min-max modular support vector machines. [Citation Graph (, )][DBLP]


  56. Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines. [Citation Graph (, )][DBLP]


  57. Incorporating Prior Knowledge into Task Decomposition for Large-Scale Patent Classification. [Citation Graph (, )][DBLP]


  58. Pruning Training Samples Using a Supervised Clustering Algorithm. [Citation Graph (, )][DBLP]


  59. Spectral and Semidefinite Relaxation of the CLUHSIC Algorithm. [Citation Graph (, )][DBLP]


  60. Feature Selection for Identifying Critical Variables of Principal Components Based on K-Nearest Neighbor Rule. [Citation Graph (, )][DBLP]


  61. Selecting Optimal Orientations of Gabor Wavelet Filters for Facial Image Analysis. [Citation Graph (, )][DBLP]


  62. Module Combination based on Decision Tree in Min-max Modular Network. [Citation Graph (, )][DBLP]


  63. Computational prediction of novel non-coding RNAs in Arabidopsis thaliana. [Citation Graph (, )][DBLP]


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