Haruhisa Takahashi

2008
17	EE	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
2006
16	EE	Rameswar Debnath, Haruhisa Takahashi: SVM Training: Second-Order Cone Programming versus Quadratic Programming. IJCNN 2006: 1162-1168
15	EE	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)
2005
14		Haruhisa Takahashi: The Variational Correlation Network for Object Detection. CIMCA/IAWTIC 2005: 314-320
13	EE	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)
2004
12	EE	Etsuji Tomita, Akira Tanaka, Haruhisa Takahashi: The Worst-Case Time Complexity for Generating All Maximal Cliques. COCOON 2004: 161-170
11		Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi: A New Model for Large Margin Classifiers by Second Order Cone Programming. IC-AI 2004: 877-882
10	EE	Takuya Tsunekawa, Kazuhiro Hotta, Haruhisa Takahashi: Lipreading Using Recurrent Neural Prediction Model. ICIAR (2) 2004: 405-412
9	EE	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)
2003
8		Rameswar Debnath, N. Takahide, Haruhisa Takahashi: A Fast Learning Decision-Based SVM for Multi-Class Problems. ICMLA 2003: 128-134
7	EE	Toru Uchiyama, Haruhisa Takahashi: Speech recognition using recurrent neural prediction model. Systems and Computers in Japan 34(2): 100-107 (2003)
2002
6	EE	Rameswar Debnath, Haruhisa Takahashi: Learning Capability: Classical RBF Network vs. SVM with Gaussian Kernel. IEA/AIE 2002: 293-302
2000
5	EE	Hanzhong Gu, Haruhisa Takahashi: How Bad May Learning Curves Be?. IEEE Trans. Pattern Anal. Mach. Intell. 22(10): 1155-1167 (2000)
4		Hanzhong Gu, Haruhisa Takahashi: Exponential or Polynomial Learning Curves? Case-Based Studies. Neural Computation 12(4): 795-809 (2000)
1998
3	EE	Haruhisa Takahashi, Hanzhong Gu: A tight bound on concept learning. IEEE Transactions on Neural Networks 9(6): 1191-1202 (1998)
1997
2	EE	Hanzhong Gu, Haruhisa Takahashi: Estimating Learning Curves of Concept Learning. Neural Networks 10(6): 1089-1102 (1997)
1993
1	EE	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

1	Rameswar Debnath	[6] [8] [9] [11] [13] [16]
2	Hanzhong Gu	[2] [3] [4] [5]
3	Kazuhiro Hotta	[10] [17]
4	Tsutomu Kawabata	[1]
5	Héctor M. Pérez Meana	[17]
6	Masakazu Muramatsu	[11] [13]
7	Mariko Nakano-Miyatake	[17]
8	Jesus Olivares-Mercado	[17]
9	Gabriel Sanchez-Perez	[17]
10	N. Takahide	[8] [9]
11	Akira Tanaka	[12] [15]
12	Etsuji Tomita	[1] [12] [15]
13	Takuya Tsunekawa	[10]
14	Toru Uchiyama	[7]

Colors in the list of coauthors