Haruhisa Takahashi

38 papers A 1B 2C 3Misc 3Journal 20Unranked 9

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