Akira Hayashi - Citegraph

Author Info

Name	Affiliation	Papers
AKIRA HAYASHI	Hiroshima City Univ, Fac Informat Sci, Asaminami Ku, 3-4-1 Ozuka Higashi, Hiroshima 7313194, Japan	22
Collaborators	Citations	PageRank
16	51	9.08
Referers	Referees	References
108	264	157

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100264

Publications (22 rows)

Collaborators (16 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
A Spatially Correlated Mixture Model For Image Segmentation	0	0.34	2015
Image Segmentation Using a Spatially Correlated Mixture Model with Gaussian Process Priors	1	0.35	2013
Marginalized Viterbi algorithm for hierarchical hidden Markov models	0	0.34	2013
Time series alignment with Gaussian processes	1	0.36	2012
Matching Handwritten Line Drawings With Von Mises Distributions	1	0.41	2011
Hierarchical hidden conditional random fields for information extraction	1	0.38	2011
Dtw-Distance Based Kernel For Time Series Data	0	0.34	2009
Component Reduction For Gaussian Mixture Models	0	0.34	2008
Sampling curve images to find similarities among parts of images	0	0.34	2008
Sports video segmentation using a hierarchical hidden CRF	1	0.37	2008
A redundancy-based measure of dissimilarity among probability distributions for hierarchical clustering criteria.	3	0.41	2008
Learning a Kernel Matrix for Time Series Data from DTW Distances	2	0.37	2007
A discriminative model corresponding to hierarchical HMMs	6	0.51	2007
Component Reduction for Hierarchical Mixture Model Construction	0	0.34	2007
Identifying the underlying hierarchical structure of clusters in cluster analysis	0	0.34	2007
View Independent Gait Identification Using a Particle Filter	0	0.34	2006
Embedding of time series data by using dynamic time warping distances	4	0.42	2006
Learning with segment boundaries for hierarchical HMMs	2	0.39	2005
A multiagent reinforcement learning algorithm using extended optimal response	22	1.22	2002
A reinforcement learning algorithm in partially observable environments using short-term memory	3	0.43	1998
Viewing classifier systems as model free learning in POMDPs	1	0.34	1998
A Bayesian Approach to Model Learning in Non-Markovian Environments	3	0.41	1997