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## Search the dblp DataBase
Haruhisa Takahashi:
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## Publications of Author- Etsuji Tomita, Akira Tanaka, Haruhisa Takahashi
**The Worst-Case Time Complexity for Generating All Maximal Cliques.**[Citation Graph (0, 0)][DBLP] COCOON, 2004, pp:161-170 [Conf] - Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
**A New Model for Large Margin Classifiers by Second Order Cone Programming.**[Citation Graph (0, 0)][DBLP] IC-AI, 2004, pp:877-882 [Conf] - Takuya Tsunekawa, Kazuhiro Hotta, Haruhisa Takahashi
**Lipreading Using Recurrent Neural Prediction Model.**[Citation Graph (0, 0)][DBLP] ICIAR (2), 2004, pp:405-412 [Conf] - Rameswar Debnath, N. Takahide, Haruhisa Takahashi
**A Fast Learning Decision-Based SVM for Multi-Class Problems.**[Citation Graph (0, 0)][DBLP] ICMLA, 2003, pp:128-134 [Conf] - Rameswar Debnath, Haruhisa Takahashi
**Learning Capability: Classical RBF Network vs. SVM with Gaussian Kernel.**[Citation Graph (0, 0)][DBLP] IEA/AIE, 2002, pp:293-302 [Conf] - Haruhisa Takahashi
**The Variational Correlation Network for Object Detection.**[Citation Graph (0, 0)][DBLP] CIMCA/IAWTIC, 2005, pp:314-320 [Conf] - Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
**An Efficient Support Vector Machine Learning Method with Second-Order Cone Programming for Large-Scale Problems.**[Citation Graph (0, 0)][DBLP] Appl. Intell., 2005, v:23, n:3, pp:219-239 [Journal] - Hanzhong Gu, Haruhisa Takahashi
**Exponential or Polynomial Learning Curves? Case-Based Studies.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2000, v:12, n:4, pp:795-809 [Journal] - Hanzhong Gu, Haruhisa Takahashi
**Estimating Learning Curves of Concept Learning.**[Citation Graph (0, 0)][DBLP] Neural Networks, 1997, v:10, n:6, pp:1089-1102 [Journal] - Haruhisa Takahashi, Etsuji Tomita, Tsutomu Kawabata
**Separability of internal representations in multilayer perceptrons with application to learning.**[Citation Graph (0, 0)][DBLP] Neural Networks, 1993, v:6, n:5, pp:689-703 [Journal] - Rameswar Debnath, N. Takahide, Haruhisa Takahashi
**A decision based one-against-one method for multi-class support vector machine.**[Citation Graph (0, 0)][DBLP] Pattern Anal. Appl., 2004, v:7, n:2, pp:164-175 [Journal] - Hanzhong Gu, Haruhisa Takahashi
**How Bad May Learning Curves Be?.**[Citation Graph (0, 0)][DBLP] IEEE Trans. Pattern Anal. Mach. Intell., 2000, v:22, n:10, pp:1155-1167 [Journal] - Toru Uchiyama, Haruhisa Takahashi
**Speech recognition using recurrent neural prediction model.**[Citation Graph (0, 0)][DBLP] Systems and Computers in Japan, 2003, v:34, n:2, pp:100-107 [Journal] - Etsuji Tomita, Akira Tanaka, Haruhisa Takahashi
**The worst-case time complexity for generating all maximal cliques and computational experiments.**[Citation Graph (0, 0)][DBLP] Theor. Comput. Sci., 2006, v:363, n:1, pp:28-42 [Journal] **Estimation of Object Position Based on Color and Shape Contextual Information.**[Citation Graph (, )][DBLP]**Asbestos Detection from Microscope Images Using Support Vector Random Field of Local Color Features.**[Citation Graph (, )][DBLP]**An Asbestos Counting Method from Microscope Images of Building Materials Using Summation Kernel of Color and Shape.**[Citation Graph (, )][DBLP]**Automatic Particle Detection and Counting by One-Class SVM from Microscope Image.**[Citation Graph (, )][DBLP]**SVM Training: Second-Order Cone Programming versus Quadratic Programming.**[Citation Graph (, )][DBLP]**Face Recognition Based on Normalization and the Phase Spectrum of the Local Part of an Image.**[Citation Graph (, )][DBLP]**Action Recognition Based on Non-parametric Probability Density Function Estimation.**[Citation Graph (, )][DBLP]
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