Asymptotic Expansion for Erlang Loss Function and Its Derivative. - Haruo Akimaru; Haruhisa Takahashi (IEEE Trans. Commun., 1981)

An Approximate Formula for Individual Call Losses in Overflow Systems. - Haruo Akimaru; Haruhisa Takahashi (IEEE Trans. Commun., 1983)

Mean and Variance of Overflow Traffic for Time Dependent Inputs. - Haruo Akimaru; Atsushi Kagechika; Haruhisa Takahashi (IEEE Trans. Commun., 1986)

Separability of internal representations in multilayer perceptrons with application to learning. - Haruhisa Takahashi; Etsuji Tomita; Tsutomu Kawabata (Neural Networks, 1993)

A randomized algorithm for finding a near-maximum clique and its experimental evaluations. - Yoshiaki Yamada; Etsuji Tomita; Haruhisa Takahashi (Syst. Comput. Jpn., 1994)

Towards more practical average bounds on supervised learning. - Hanzhong Gu; Haruhisa Takahashi (IEEE Trans. Neural Networks, 1996)

Estimating Learning Curves of Concept Learning. - Hanzhong Gu; Haruhisa Takahashi (Neural Networks, 1997)

A tight bound on concept learning. - Haruhisa Takahashi; Hanzhong Gu (IEEE Trans. Neural Networks, 1998)

Exponential or Polynomial Learning Curves? Case-Based Studies. - Hanzhong Gu; Haruhisa Takahashi (Neural Comput., 2000)

How Bad May Learning Curves Be?. - Hanzhong Gu; Haruhisa Takahashi (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Learning Capability: Classical RBF Network vs. SVM with Gaussian Kernel. - Rameswar Debnath; Haruhisa Takahashi (IEA/AIE, 2002)

A Fast Learning Decision-Based SVM for Multi-Class Problems. - Rameswar Debnath; N. Takahide; Haruhisa Takahashi (ICMLA, 2003)

Speech recognition using recurrent neural prediction model. - Toru Uchiyama; Haruhisa Takahashi (Syst. Comput. Jpn., 2003)

The Worst-Case Time Complexity for Generating All Maximal Cliques. - Etsuji Tomita; Akira Tanaka; Haruhisa Takahashi (COCOON, 2004)

A New Model for Large Margin Classifiers by Second Order Cone Programming. - Rameswar Debnath; Masakazu Muramatsu; Haruhisa Takahashi (IC-AI, 2004)

Lipreading Using Recurrent Neural Prediction Model. - Takuya Tsunekawa; Kazuhiro Hotta; Haruhisa Takahashi (ICIAR (2), 2004)

The support vector machine learning using the second order cone programming. - Rameswar Debnath; Masakazu Muramatsu; Haruhisa Takahashi (IJCNN, 2004)

Kernel Selection for the Support Vector Machine. - Rameswar Debnath; Haruhisa Takahashi (IEICE Trans. Inf. Syst., 2004)

A decision based one-against-one method for multi-class support vector machine. - Rameswar Debnath; N. Takahide; Haruhisa Takahashi (Pattern Anal. Appl., 2004)

The Variational Correlation Network for Object Detection. - Haruhisa Takahashi (CIMCA/IAWTIC, 2005)

An Efficient Support Vector Machine Learning Method with Second-Order Cone Programming for Large-Scale Problems. - Rameswar Debnath; Masakazu Muramatsu; Haruhisa Takahashi (Appl. Intell., 2005)

SVM Training: Second-Order Cone Programming versus Quadratic Programming. - Rameswar Debnath; Haruhisa Takahashi (IJCNN, 2006)

An Object Detection Method Based on Independent Local Features. - Ryouta Nakano; Kazuhiro Hotta; Haruhisa Takahashi (J. Robotics Mechatronics, 2006)

The worst-case time complexity for generating all maximal cliques and computational experiments. - Etsuji Tomita; Akira Tanaka; Haruhisa Takahashi (Theor. Comput. Sci., 2006)

Variational phasor mean field model for Markov random fields. - Haruhisa Takahashi (ISSPA, 2007)

Automatic Particle Detection and Counting by One-Class SVM from Microscope Image. - Hinata Kuba; Kazuhiro Hotta; Haruhisa Takahashi (ICONIP (2), 2008)

Asbestos Detection from Microscope Images Using Support Vector Random Field of Local Color Features. - Yoshitaka Moriguchi; Kazuhiro Hotta; Haruhisa Takahashi (ICONIP (2), 2008)

An Asbestos Counting Method from Microscope Images of Building Materials Using Summation Kernel of Color and Shape. - Atsuo Nomoto; Kazuhiro Hotta; Haruhisa Takahashi (ICONIP (2), 2008)

Face Recognition Based on Normalization and the Phase Spectrum of the Local Part of an Image. - Jesus Olivares-Mercado; Kazuhiro Hotta; Haruhisa Takahashi; Héctor M. Pérez Meana; Mariko Nakano-Miyatake; Gabriel Sanchez-Perez (ISVC (2), 2008)

Estimation of Object Position Based on Color and Shape Contextual Information. - Takashi Ishihara; Kazuhiro Hotta; Haruhisa Takahashi (ICIAP, 2009)

Action Recognition Based on Non-parametric Probability Density Function Estimation. - Yuta Mimura; Kazuhiro Hotta; Haruhisa Takahashi (ISVC (2), 2009)

Improving the eigenphase method for face recognition. - Jesus Olivares-Mercado; Kazuhiro Hotta; Haruhisa Takahashi; Mariko Nakano-Miyatake; Karina Toscano-Medina; Héctor Pérez-Meana (IEICE Electron. Express, 2009)

Implementation Issues of Second-Order Cone Programming Approaches for Support Vector Machine Learning Problems. - Rameswar Debnath; Masakazu Muramatsu; Haruhisa Takahashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Development of an Automated Microscope for Supporting Qualitative Asbestos Analysis by Dispersion Staining. - Kuniaki Kawabata; Soichiro Morishita; Hiroshi Takemura; Kazuhiro Hotta; Taketoshi Mishima; Hajime Asama; Hiroshi Mizoguchi; Haruhisa Takahashi (J. Robotics Mechatronics, 2009)

Asbestos Detection in Building Materials Through Consolidation of Similarities in Color and Shape Features. - Atsuo Nomoto; Kazuhiro Hotta; Haruhisa Takahashi (J. Robotics Mechatronics, 2010)

Improving object position estimation based on non-linear mapping using Relevance Vector Machine. - Jesus Robles-Castro; Gonzalo Duchen-Sanchez; Haruhisa Takahashi (CONIELECOMP, 2011)

Learning with Kernel Random Field and Linear SVM. - Haruhisa Takahashi (ICPRAM, 2014)

Estimation of Average Latent Waiting and Service Times of Activities from Event Logs. - Takahide Nogayama; Haruhisa Takahashi (BPM, 2015)