Haruhisa Takahashi

Publication Activity (10 Years)

Years Active: 1981-2015
Publications (10 Years): 1

Top Topics

Processor Sharing Queue

Queueing Systems

Top Venues

Publications

Takahide Nogayama, Haruhisa Takahashi
Estimation of Average Latent Waiting and Service Times of Activities from Event Logs. BPM (2015)
Haruhisa Takahashi
Learning with Kernel Random Field and Linear SVM. ICPRAM (2014)
Jesus Robles-Castro, Gonzalo Duchen-Sanchez, Haruhisa Takahashi
Improving object position estimation based on non-linear mapping using Relevance Vector Machine. CONIELECOMP (2011)
Atsuo Nomoto, Kazuhiro Hotta, Haruhisa Takahashi
Asbestos Detection in Building Materials Through Consolidation of Similarities in Color and Shape Features. J. Robotics Mechatronics 22 (4) (2010)
Kuniaki Kawabata, Soichiro Morishita, Hiroshi Takemura, Kazuhiro Hotta, Taketoshi Mishima, Hajime Asama, Hiroshi Mizoguchi, Haruhisa Takahashi
Development of an Automated Microscope for Supporting Qualitative Asbestos Analysis by Dispersion Staining. J. Robotics Mechatronics 21 (2) (2009)
Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
Implementation Issues of Second-Order Cone Programming Approaches for Support Vector Machine Learning Problems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (4) (2009)
Yuta Mimura, Kazuhiro Hotta, Haruhisa Takahashi
Action Recognition Based on Non-parametric Probability Density Function Estimation. ISVC (2) (2009)
Takashi Ishihara, Kazuhiro Hotta, Haruhisa Takahashi
Estimation of Object Position Based on Color and Shape Contextual Information. ICIAP (2009)
Jesus Olivares-Mercado, Kazuhiro Hotta, Haruhisa Takahashi, Mariko Nakano-Miyatake, Karina Toscano-Medina, Héctor Pérez-Meana
Improving the eigenphase method for face recognition. IEICE Electron. Express 6 (15) (2009)
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)
Yoshitaka Moriguchi, Kazuhiro Hotta, Haruhisa Takahashi
Asbestos Detection from Microscope Images Using Support Vector Random Field of Local Color Features. ICONIP (2) (2008)
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)
Hinata Kuba, Kazuhiro Hotta, Haruhisa Takahashi
Automatic Particle Detection and Counting by One-Class SVM from Microscope Image. ICONIP (2) (2008)
Haruhisa Takahashi
Variational phasor mean field model for Markov random fields. ISSPA (2007)
Ryouta Nakano, Kazuhiro Hotta, Haruhisa Takahashi
An Object Detection Method Based on Independent Local Features. J. Robotics Mechatronics 18 (6) (2006)
Etsuji Tomita, Akira Tanaka, Haruhisa Takahashi
The worst-case time complexity for generating all maximal cliques and computational experiments. Theor. Comput. Sci. 363 (1) (2006)
Rameswar Debnath, Haruhisa Takahashi
SVM Training: Second-Order Cone Programming versus Quadratic Programming. IJCNN (2006)
Haruhisa Takahashi
The Variational Correlation Network for Object Detection. CIMCA/IAWTIC (2005)
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) (2005)
Etsuji Tomita, Akira Tanaka, Haruhisa Takahashi
The Worst-Case Time Complexity for Generating All Maximal Cliques. COCOON (2004)
Rameswar Debnath, Haruhisa Takahashi
Kernel Selection for the Support Vector Machine. IEICE Trans. Inf. Syst. (12) (2004)
Takuya Tsunekawa, Kazuhiro Hotta, Haruhisa Takahashi
Lipreading Using Recurrent Neural Prediction Model. ICIAR (2) (2004)
Rameswar Debnath, N. Takahide, Haruhisa Takahashi
A decision based one-against-one method for multi-class support vector machine. Pattern Anal. Appl. 7 (2) (2004)
Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
A New Model for Large Margin Classifiers by Second Order Cone Programming. IC-AI (2004)
Rameswar Debnath, N. Takahide, Haruhisa Takahashi
A Fast Learning Decision-Based SVM for Multi-Class Problems. ICMLA (2003)
Toru Uchiyama, Haruhisa Takahashi
Speech recognition using recurrent neural prediction model. Systems and Computers in Japan 34 (2) (2003)
Rameswar Debnath, Haruhisa Takahashi
Learning Capability: Classical RBF Network vs. SVM with Gaussian Kernel. IEA/AIE (2002)
Hanzhong Gu, Haruhisa Takahashi
How Bad May Learning Curves Be?. IEEE Trans. Pattern Anal. Mach. Intell. 22 (10) (2000)
Hanzhong Gu, Haruhisa Takahashi
Exponential or Polynomial Learning Curves? Case-Based Studies. Neural Comput. 12 (4) (2000)
Haruhisa Takahashi, Hanzhong Gu
A tight bound on concept learning. IEEE Trans. Neural Networks 9 (6) (1998)
Hanzhong Gu, Haruhisa Takahashi
Estimating Learning Curves of Concept Learning. Neural Networks 10 (6) (1997)
Hanzhong Gu, Haruhisa Takahashi
Towards more practical average bounds on supervised learning. IEEE Trans. Neural Networks 7 (4) (1996)
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) (1994)
Haruhisa Takahashi, Etsuji Tomita, Tsutomu Kawabata
Separability of internal representations in multilayer perceptrons with application to learning. Neural Networks 6 (5) (1993)
Haruo Akimaru, Atsushi Kagechika, Haruhisa Takahashi
Mean and Variance of Overflow Traffic for Time Dependent Inputs. IEEE Trans. Commun. 34 (3) (1986)
Haruo Akimaru, Haruhisa Takahashi
An Approximate Formula for Individual Call Losses in Overflow Systems. IEEE Trans. Commun. 31 (6) (1983)
Haruo Akimaru, Haruhisa Takahashi
Asymptotic Expansion for Erlang Loss Function and Its Derivative. IEEE Trans. Commun. 29 (9) (1981)