Akira Hayashi

2008
16	EE	Kazunori Iwata, Akira Hayashi: A Redundancy-Based Measure of Dissimilarity among Probability Distributions for Hierarchical Clustering Criteria. IEEE Trans. Pattern Anal. Mach. Intell. 30(1): 76-88 (2008)
2007
15	EE	Kazunori Iwata, Akira Hayashi: Identifying the Underlying Hierarchical Structure of Clusters in Cluster Analysis. ICANN (2) 2007: 311-320
14	EE	Kumiko Maebashi, Nobuo Suematsu, Akira Hayashi: Component Reduction for Hierarchical Mixture Model Construction. ICONIP (2) 2007: 326-335
13	EE	Hiroyuki Narita, Yasumasa Sawamura, Akira Hayashi: Learning a Kernel Matrix for Time Series Data from DTW Distances. ICONIP (2) 2007: 336-345
12	EE	Takaaki Sugiura, Naoto Gotou, Akira Hayashi: A Discriminative Model Corresponding to Hierarchical HMMs. IDEAL 2007: 375-384
2006
11	EE	Mitsuharu Emoto, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata: View Independent Gait Identification Using a Particle Filter. AVSS 2006: 74
10	EE	Kazunori Iwata, Akira Hayashi: Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters. ICANN (2) 2006: 311-320
9	EE	Yuko Mizuhara, Akira Hayashi, Nobuo Suematsu: Embedding of time series data by using dynamic time warping distances. Systems and Computers in Japan 37(3): 1-9 (2006)
2005
8	EE	Naoto Gotou, Akira Hayashi, Nobuo Suematsu: Learning with Segment Boundaries for Hierarchical HMMs. ICAPR (1) 2005: 538-543
7	EE	Akira Hayashi, Yuko Mizuhara, Nobuo Suematsu: Embedding Time Series Data for Classification. MLDM 2005: 356-365
6	EE	Akira Hayashi: Foreword. IEICE Transactions 88-A(1): 1 (2005)
2002
5	EE	Nobuo Suematsu, Akira Hayashi: A multiagent reinforcement learning algorithm using extended optimal response. AAMAS 2002: 370-377
1998
4	EE	Nobuo Suematsu, Akira Hayashi: A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory. NIPS 1998: 1059-1065
3	EE	Akira Hayashi, Nobuo Suematsu: Viewing Classifier Systems as Model Free Learning in POMDPs. NIPS 1998: 989-995
1997
2		Nobuo Suematsu, Akira Hayashi, Shigang Li: A Bayesian Approach to Model Learning in Non-Markovian Environments. ICML 1997: 349-357
1991
1		Akira Hayashi, Benjamin Kuipers: Path Planning for Highly Redundant Manipulators Using a Continuous Model. AAAI 1991: 666-672

Coauthor Index

1	Mitsuharu Emoto	[11]
2	Naoto Gotou	[8] [12]
3	Kazunori Iwata	[10] [11] [15] [16]
4	Benjamin Kuipers	[1]
5	Shigang Li	[2]
6	Kumiko Maebashi	[14]
7	Yuko Mizuhara	[7] [9]
8	Hiroyuki Narita	[13]
9	Yasumasa Sawamura	[13]
10	Nobuo Suematsu	[2] [3] [4] [5] [7] [8] [9] [11] [14]
11	Takaaki Sugiura	[12]

Colors in the list of coauthors