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Haruhisa Takahashi
2010 – today
- 2011
[c15]Jesus Robles-Castro, Gonzalo Duchen-Sanchez, Haruhisa Takahashi: Improving object position estimation based on non-linear mapping using Relevance Vector Machine. CONIELECOMP 2011: 171-176
2000 – 2009
- 2009
- [j13]Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi: Implementation Issues of Second-Order Cone Programming Approaches for Support Vector Machine Learning Problems. IEICE Transactions 92-A(4): 1209-1222 (2009)
- [c14]Takashi Ishihara, Kazuhiro Hotta, Haruhisa Takahashi: Estimation of Object Position Based on Color and Shape Contextual Information. ICIAP 2009: 825-834
- [c13]Yuta Mimura, Kazuhiro Hotta, Haruhisa Takahashi: Action Recognition Based on Non-parametric Probability Density Function Estimation. ISVC (2) 2009: 489-498
- 2008
- [c12]Yoshitaka Moriguchi, Kazuhiro Hotta, Haruhisa Takahashi: Asbestos Detection from Microscope Images Using Support Vector Random Field of Local Color Features. ICONIP (2) 2008: 344-352
- [c11]Hinata Kuba, Kazuhiro Hotta, Haruhisa Takahashi: Automatic Particle Detection and Counting by One-Class SVM from Microscope Image. ICONIP (2) 2008: 361-368
- [c10]Atsuo Nomoto, Kazuhiro Hotta, Haruhisa Takahashi: An Asbestos Counting Method from Microscope Images of Building Materials Using Summation Kernel of Color and Shape. ICONIP (2) 2008: 671-678
- [c9]Jesus Olivares-Mercado, Kazuhiro Hotta, Haruhisa Takahashi, Héctor M. Pérez Meana, Mariko Nakano-Miyatake, Gabriel Sanchez-Perez: Face Recognition Based on Normalization and the Phase Spectrum of the Local Part of an Image. ISVC (2) 2008: 278-286
- 2007
- [c8]
- 2006
- [j12]Etsuji Tomita, Akira Tanaka, Haruhisa Takahashi: The worst-case time complexity for generating all maximal cliques and computational experiments. Theor. Comput. Sci. 363(1): 28-42 (2006)
- [c7]Rameswar Debnath, Haruhisa Takahashi: SVM Training: Second-Order Cone Programming versus Quadratic Programming. IJCNN 2006: 1162-1168
- 2005
- [j11]Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi: An Efficient Support Vector Machine Learning Method with Second-Order Cone Programming for Large-Scale Problems. Appl. Intell. 23(3): 219-239 (2005)
- [c6]Haruhisa Takahashi: The Variational Correlation Network for Object Detection. CIMCA/IAWTIC 2005: 314-320
- 2004
- [j10]Rameswar Debnath, Haruhisa Takahashi: Kernel Selection for the Support Vector Machine. IEICE Transactions 87-D(12): 2903-2904 (2004)
- [j9]Rameswar Debnath, N. Takahide, Haruhisa Takahashi: A decision based one-against-one method for multi-class support vector machine. Pattern Anal. Appl. 7(2): 164-175 (2004)
- [c5]Etsuji Tomita, Akira Tanaka, Haruhisa Takahashi: The Worst-Case Time Complexity for Generating All Maximal Cliques. COCOON 2004: 161-170
- [c4]Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi: A New Model for Large Margin Classifiers by Second Order Cone Programming. IC-AI 2004: 877-882
- [c3]Takuya Tsunekawa, Kazuhiro Hotta, Haruhisa Takahashi: Lipreading Using Recurrent Neural Prediction Model. ICIAR (2) 2004: 405-412
- 2003
- [j8]Toru Uchiyama, Haruhisa Takahashi: Speech recognition using recurrent neural prediction model. Systems and Computers in Japan 34(2): 100-107 (2003)
- [c2]Rameswar Debnath, N. Takahide, Haruhisa Takahashi: A Fast Learning Decision-Based SVM for Multi-Class Problems. ICMLA 2003: 128-134
- 2002
- [c1]Rameswar Debnath, Haruhisa Takahashi: Learning Capability: Classical RBF Network vs. SVM with Gaussian Kernel. IEA/AIE 2002: 293-302
- 2000
- [j7]Hanzhong Gu, Haruhisa Takahashi: Exponential or Polynomial Learning Curves? Case-Based Studies. Neural Computation 12(4): 795-809 (2000)
- [j6]Hanzhong Gu, Haruhisa Takahashi: How Bad May Learning Curves Be?. IEEE Trans. Pattern Anal. Mach. Intell. 22(10): 1155-1167 (2000)
1990 – 1999
- 1998
- [j5]Haruhisa Takahashi, Hanzhong Gu: A tight bound on concept learning. IEEE Transactions on Neural Networks 9(6): 1191-1202 (1998)
- 1997
- [j4]Hanzhong Gu, Haruhisa Takahashi: Estimating Learning Curves of Concept Learning. Neural Networks 10(6): 1089-1102 (1997)
- 1996
- [j3]Hanzhong Gu, Haruhisa Takahashi: Towards more practical average bounds on supervised learning. IEEE Trans. Neural Netw. Learning Syst. 7(4): 953-968 (1996)
- 1994
- [j2]Yoshiaki Yamada, Etsuji Tomita, Haruhisa Takahashi: A randomized algorithm for finding a near-maximum clique and its experimental evaluations. Systems and Computers in Japan 25(2): 1-7 (1994)
- 1993
- [j1]Haruhisa Takahashi, Etsuji Tomita, Tsutomu Kawabata: Separability of internal representations in multilayer perceptrons with application to learning. Neural Networks 6(5): 689-703 (1993)
Coauthor Index
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last updated on 2013-05-06 20:47 CEST by the dblp team