Akira Hayashi

According to our database, Akira Hayashi authored at least 39 papers between 1977 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2015

A Spatially Correlated Mixture Model for Image Segmentation.

Kosei Kurisu, Nobuo Suematsu, Kazunori Iwata, Akira Hayashi

IEICE Trans. Inf. Syst., 2015

A new shape descriptor based on an angular-linear probability distribution.

Kazunori Iwata, Nobuo Suematsu, Akira Hayashi

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2013

Marginalized Viterbi algorithm for hierarchical hidden Markov models.

Akira Hayashi, Kazunori Iwata, Nobuo Suematsu

Pattern Recognit., 2013

Finding the Most Likely Upper Level State Sequence for Hierarchical HMMs.

Akira Hayashi, Kazunori Iwata, Nobuo Suematsu

Proceedings of the Statistical Language and Speech Processing, 2013

Image Segmentation Using a Spatially Correlated Mixture Model with Gaussian Process Priors.

Kosei Kurisu, Nobuo Suematsu, Kazunori Iwata, Akira Hayashi

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012

Performance characteristics of LSB steganalysis based on statistics of image difference signal.

Tadakazu Sakakura, Akira Hayashi

Proceedings of the International Symposium on Information Theory and its Applications, 2012

Time series alignment with Gaussian processes.

Nobuo Suematsu, Akira Hayashi

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Matching Handwritten Line Drawings with Von Mises Distributions.

Katsutoshi Ueaoki, Kazunori Iwata, Nobuo Suematsu, Akira Hayashi

IEICE Trans. Inf. Syst., 2011

Hierarchical Hidden Conditional Random Fields for Information Extraction.

Satoshi Kaneko, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata

Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

2010

A simple detection scheme of LSB steganography based on statistics of image difference signal.

Tadakazu Sakakura, Akira Hayashi

Proceedings of the International Symposium on Information Theory and its Applications, 2010

On the critical density associated with the matrix type knapsack cryptosystem.

Akira Hayashi

Proceedings of the International Symposium on Information Theory and its Applications, 2010

2009

DTW-Distance Based Kernel for Time Series Data.

Hiroyuki Narita, Yasumasa Sawamura, Akira Hayashi

IEICE Trans. Inf. Syst., 2009

2008

A Redundancy-Based Measure of Dissimilarity among Probability Distributions for Hierarchical Clustering Criteria.

Kazunori Iwata, Akira Hayashi

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Component Reduction for Gaussian Mixture Models.

Kumiko Maebashi, Nobuo Suematsu, Akira Hayashi

IEICE Trans. Inf. Syst., 2008

Sports Video Segmentation Using a Hierarchical Hidden CRF.

Hirotaka Tamada, Akira Hayashi

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Sampling Curve Images to Find Similarities among Parts of Images.

Kazunori Iwata, Akira Hayashi

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

A Discriminative Model Corresponding to Hierarchical HMMs.

Takaaki Sugiura, Naoto Gotou, Akira Hayashi

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Learning a Kernel Matrix for Time Series Data from DTW Distances.

Hiroyuki Narita, Yasumasa Sawamura, Akira Hayashi

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Component Reduction for Hierarchical Mixture Model Construction.

Kumiko Maebashi, Nobuo Suematsu, Akira Hayashi

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Identifying the Underlying Hierarchical Structure of Clusters in Cluster Analysis.

Kazunori Iwata, Akira Hayashi

Proceedings of the Artificial Neural Networks, 2007

2006

Embedding of time series data by using dynamic time warping distances.

Yuko Mizuhara, Akira Hayashi, Nobuo Suematsu

Syst. Comput. Jpn., 2006

Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters.

Kazunori Iwata, Akira Hayashi

Proceedings of the Artificial Neural Networks, 2006

View Independent Gait Identification Using a Particle Filter.

Mitsuharu Emoto, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata

Proceedings of the Advanced Video and Signal Based Surveillance, 2006

2005

Foreword.

Akira Hayashi

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005

Embedding Time Series Data for Classification.

Akira Hayashi, Yuko Mizuhara, Nobuo Suematsu

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Learning with Segment Boundaries for Hierarchical HMMs.

Naoto Gotou, Akira Hayashi, Nobuo Suematsu

Proceedings of the Pattern Recognition and Data Mining, 2005

2002

A multiagent reinforcement learning algorithm using extended optimal response.

Nobuo Suematsu, Akira Hayashi

Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

1999

Making a local map of indoor environments by swiveling a camera and a sonar.

Shigang Li, Toshihiko Kanbara, Akira Hayashi

Proceedings of the Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients, 1999

1998

A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory.

Nobuo Suematsu, Akira Hayashi

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Viewing Classifier Systems as Model Free Learning in POMDPs.

Akira Hayashi, Nobuo Suematsu

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Robot navigation in outdoor environments by using GPS information and panoramic views.

Shigang Li, Akira Hayashi

Proceedings of the Proceedings 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, 1998

1997

A Bayesian Approach to Model Learning in Non-Markovian Environments.

Nobuo Suematsu, Akira Hayashi, Shigang Li

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

1996

Qualitative representation of outdoor environment along route.

Shigang Li, Saburo Tsuji, Akira Hayashi

Proceedings of the 13th International Conference on Pattern Recognition, 1996

1992

A Continuous Approach To Robot Motion Planning With Many Degrees Of Freedom.

Akira Hayashi, Benjamin Kuipers

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 1992

1991

Path Planning for Highly Redundant Manipulators Using a Continuous Model.

Akira Hayashi, Benjamin Kuipers

Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1982

Delta Modulation of Time-Discrete Processes with i.i.d. Increments Having a Rational Characteristic Function.

Akira Hayashi

IEEE Trans. Commun., 1982

1978

Differential Pulse Code Modulation of Stationary Gaussian Inputs.

Akira Hayashi

IEEE Trans. Commun., 1978

Differential Pulse-Code Modulation of the Wiener Process.

Akira Hayashi

IEEE Trans. Commun., 1978

1977

Analysis of some digital transmission systems for analog signals (Ph.D. Thesis abstr.).

Akira Hayashi

IEEE Trans. Inf. Theory, 1977