Akira Hayashi

Publication Activity (10 Years)

Years Active: 1977-2015
Publications (10 Years): 2

Top Topics

Image Segmentation

Gaussian Process

Viterbi Algorithm

Top Venues

IEICE Trans. Inf. Syst.

Pattern Recognit.

Publications

Kazunori Iwata, Nobuo Suematsu, Akira Hayashi
A new shape descriptor based on an angular-linear probability distribution. ACPR (2015)
Kosei Kurisu, Nobuo Suematsu, Kazunori Iwata, Akira Hayashi
A Spatially Correlated Mixture Model for Image Segmentation. IEICE Trans. Inf. Syst. (4) (2015)
Kosei Kurisu, Nobuo Suematsu, Kazunori Iwata, Akira Hayashi
Image Segmentation Using a Spatially Correlated Mixture Model with Gaussian Process Priors. ACPR (2013)
Akira Hayashi, Kazunori Iwata, Nobuo Suematsu
Finding the Most Likely Upper Level State Sequence for Hierarchical HMMs. SLSP (2013)
Akira Hayashi, Kazunori Iwata, Nobuo Suematsu
Marginalized Viterbi algorithm for hierarchical hidden Markov models. Pattern Recognit. 46 (12) (2013)
Tadakazu Sakakura, Akira Hayashi
Performance characteristics of LSB steganalysis based on statistics of image difference signal. ISITA (2012)
Nobuo Suematsu, Akira Hayashi
Time series alignment with Gaussian processes. ICPR (2012)
Satoshi Kaneko, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata
Hierarchical Hidden Conditional Random Fields for Information Extraction. LION (2011)
Katsutoshi Ueaoki, Kazunori Iwata, Nobuo Suematsu, Akira Hayashi
Matching Handwritten Line Drawings with Von Mises Distributions. IEICE Trans. Inf. Syst. (12) (2011)
Akira Hayashi
On the critical density associated with the matrix type knapsack cryptosystem. ISITA (2010)
Tadakazu Sakakura, Akira Hayashi
A simple detection scheme of LSB steganography based on statistics of image difference signal. ISITA (2010)
Hiroyuki Narita, Yasumasa Sawamura, Akira Hayashi
DTW-Distance Based Kernel for Time Series Data. IEICE Trans. Inf. Syst. (1) (2009)
Hirotaka Tamada, Akira Hayashi
Sports Video Segmentation Using a Hierarchical Hidden CRF. ICONIP (1) (2008)
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) (2008)
Kazunori Iwata, Akira Hayashi
Sampling Curve Images to Find Similarities among Parts of Images. ICONIP (1) (2008)
Kumiko Maebashi, Nobuo Suematsu, Akira Hayashi
Component Reduction for Gaussian Mixture Models. IEICE Trans. Inf. Syst. (12) (2008)
Kumiko Maebashi, Nobuo Suematsu, Akira Hayashi
Component Reduction for Hierarchical Mixture Model Construction. ICONIP (2) (2007)
Kazunori Iwata, Akira Hayashi
Identifying the Underlying Hierarchical Structure of Clusters in Cluster Analysis. ICANN (2) (2007)
Takaaki Sugiura, Naoto Gotou, Akira Hayashi
A Discriminative Model Corresponding to Hierarchical HMMs. IDEAL (2007)
Hiroyuki Narita, Yasumasa Sawamura, Akira Hayashi
Learning a Kernel Matrix for Time Series Data from DTW Distances. ICONIP (2) (2007)
Kazunori Iwata, Akira Hayashi
Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters. ICANN (2) (2006)
Mitsuharu Emoto, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata
View Independent Gait Identification Using a Particle Filter. AVSS (2006)
Yuko Mizuhara, Akira Hayashi, Nobuo Suematsu
Embedding of time series data by using dynamic time warping distances. Systems and Computers in Japan 37 (3) (2006)
Akira Hayashi
Foreword. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (1) (2005)
Akira Hayashi, Yuko Mizuhara, Nobuo Suematsu
Embedding Time Series Data for Classification. MLDM (2005)
Naoto Gotou, Akira Hayashi, Nobuo Suematsu
Learning with Segment Boundaries for Hierarchical HMMs. ICAPR (1) (2005)
Nobuo Suematsu, Akira Hayashi
A multiagent reinforcement learning algorithm using extended optimal response. AAMAS (2002)
Shigang Li, Toshihiko Kanbara, Akira Hayashi
Making a local map of indoor environments by swiveling a camera and a sonar. IROS (1999)
Nobuo Suematsu, Akira Hayashi
A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory. NIPS (1998)
Shigang Li, Akira Hayashi
Robot navigation in outdoor environments by using GPS information and panoramic views. IROS (1998)
Akira Hayashi, Nobuo Suematsu
Viewing Classifier Systems as Model Free Learning in POMDPs. NIPS (1998)
Nobuo Suematsu, Akira Hayashi, Shigang Li
A Bayesian Approach to Model Learning in Non-Markovian Environments. ICML (1997)
Shigang Li, Saburo Tsuji, Akira Hayashi
Qualitative representation of outdoor environment along route. ICPR (1996)
Akira Hayashi, Benjamin Kuipers
A Continuous Approach To Robot Motion Planning With Many Degrees Of Freedom. IROS (1992)
Akira Hayashi, Benjamin Kuipers
Path Planning for Highly Redundant Manipulators Using a Continuous Model. AAAI (1991)
Akira Hayashi
Delta Modulation of Time-Discrete Processes with i.i.d. Increments Having a Rational Characteristic Function. IEEE Trans. Commun. 30 (3) (1982)
Akira Hayashi
Differential Pulse-Code Modulation of the Wiener Process. IEEE Trans. Commun. 26 (6) (1978)
Akira Hayashi
Differential Pulse Code Modulation of Stationary Gaussian Inputs. IEEE Trans. Commun. 26 (8) (1978)
Akira Hayashi
Analysis of some digital transmission systems for analog signals (Ph.D. Thesis abstr.). IEEE Trans. Inf. Theory 23 (2) (1977)