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ORCIDAkira Hayashi
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2010 – 2019
- 2015
[j12]Kosei Kurisu, Nobuo Suematsu, Kazunori Iwata
, Akira Hayashi:
A Spatially Correlated Mixture Model for Image Segmentation. IEICE Trans. Inf. Syst. 98-D(4): 930-937 (2015)- [c27]Kazunori Iwata, Nobuo Suematsu, Akira Hayashi:
A new shape descriptor based on an angular-linear probability distribution. ACPR 2015: 484-488 - 2013
- [j11]Akira Hayashi, Kazunori Iwata, Nobuo Suematsu:
Marginalized Viterbi algorithm for hierarchical hidden Markov models. Pattern Recognit. 46(12): 3452-3459 (2013) - [c26]Kosei Kurisu, Nobuo Suematsu, Kazunori Iwata, Akira Hayashi:
Image Segmentation Using a Spatially Correlated Mixture Model with Gaussian Process Priors. ACPR 2013: 59-63 - [c25]Akira Hayashi, Kazunori Iwata, Nobuo Suematsu:
Finding the Most Likely Upper Level State Sequence for Hierarchical HMMs. SLSP 2013: 111-122 - 2012
- [c24]Nobuo Suematsu, Akira Hayashi:
Time series alignment with Gaussian processes. ICPR 2012: 2355-2358 - [c23]Tadakazu Sakakura, Akira Hayashi:
Performance characteristics of LSB steganalysis based on statistics of image difference signal. ISITA 2012: 792-796 - 2011
- [j10]Katsutoshi Ueaoki, Kazunori Iwata, Nobuo Suematsu, Akira Hayashi:
Matching Handwritten Line Drawings with Von Mises Distributions. IEICE Trans. Inf. Syst. 94-D(12): 2487-2494 (2011) - [c22]Satoshi Kaneko, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata:
Hierarchical Hidden Conditional Random Fields for Information Extraction. LION 2011: 191-202 - 2010
- [c21]Tadakazu Sakakura, Akira Hayashi:
A simple detection scheme of LSB steganography based on statistics of image difference signal. ISITA 2010: 320-325 - [c20]Akira Hayashi:
On the critical density associated with the matrix type knapsack cryptosystem. ISITA 2010: 437-440
2000 – 2009
- 2009
- [j9]Hiroyuki Narita, Yasumasa Sawamura, Akira Hayashi:
DTW-Distance Based Kernel for Time Series Data. IEICE Trans. Inf. Syst. 92-D(1): 51-58 (2009) - 2008
- [j8]Kumiko Maebashi, Nobuo Suematsu, Akira Hayashi:
Component Reduction for Gaussian Mixture Models. IEICE Trans. Inf. Syst. 91-D(12): 2846-2853 (2008) - [j7]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) - [c19]Kazunori Iwata, Akira Hayashi:
Sampling Curve Images to Find Similarities among Parts of Images. ICONIP (1) 2008: 663-670 - [c18]Hirotaka Tamada, Akira Hayashi:
Sports Video Segmentation Using a Hierarchical Hidden CRF. ICONIP (1) 2008: 715-722 - 2007
- [c17]Kazunori Iwata, Akira Hayashi:
Identifying the Underlying Hierarchical Structure of Clusters in Cluster Analysis. ICANN (2) 2007: 311-320 - [c16]Kumiko Maebashi, Nobuo Suematsu, Akira Hayashi:
Component Reduction for Hierarchical Mixture Model Construction. ICONIP (2) 2007: 326-335 - [c15]Hiroyuki Narita, Yasumasa Sawamura, Akira Hayashi:
Learning a Kernel Matrix for Time Series Data from DTW Distances. ICONIP (2) 2007: 336-345 - [c14]Takaaki Sugiura, Naoto Gotou, Akira Hayashi:
A Discriminative Model Corresponding to Hierarchical HMMs. IDEAL 2007: 375-384 - 2006
- [j6]Yuko Mizuhara, Akira Hayashi, Nobuo Suematsu:
Embedding of time series data by using dynamic time warping distances. Syst. Comput. Jpn. 37(3): 1-9 (2006) - [c13]Mitsuharu Emoto, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata:
View Independent Gait Identification Using a Particle Filter. AVSS 2006: 74 - [c12]Kazunori Iwata, Akira Hayashi:
Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters. ICANN (2) 2006: 311-320 - 2005
- [j5]Akira Hayashi:
Foreword. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 88-A(1): 1 (2005) - [c11]Naoto Gotou, Akira Hayashi, Nobuo Suematsu:
Learning with Segment Boundaries for Hierarchical HMMs. ICAPR (1) 2005: 538-543 - [c10]Akira Hayashi, Yuko Mizuhara, Nobuo Suematsu:
Embedding Time Series Data for Classification. MLDM 2005: 356-365 - 2002
- [c9]Nobuo Suematsu, Akira Hayashi:
A multiagent reinforcement learning algorithm using extended optimal response. AAMAS 2002: 370-377
1990 – 1999
- 1999
- [c8]Shigang Li, Toshihiko Kanbara, Akira Hayashi:
Making a local map of indoor environments by swiveling a camera and a sonar. IROS 1999: 954-959 - 1998
- [c7]Shigang Li, Akira Hayashi:
Robot navigation in outdoor environments by using GPS information and panoramic views. IROS 1998: 570-575 - [c6]Akira Hayashi, Nobuo Suematsu:
Viewing Classifier Systems as Model Free Learning in POMDPs. NIPS 1998: 989-995 - [c5]Nobuo Suematsu, Akira Hayashi:
A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory. NIPS 1998: 1059-1065 - 1997
- [c4]Nobuo Suematsu, Akira Hayashi, Shigang Li:
A Bayesian Approach to Model Learning in Non-Markovian Environments. ICML 1997: 349-357 - 1996
- [c3]Shigang Li, Saburo Tsuji, Akira Hayashi:
Qualitative representation of outdoor environment along route. ICPR 1996: 176-180 - 1992
- [c2]Akira Hayashi, Benjamin Kuipers:
A Continuous Approach To Robot Motion Planning With Many Degrees Of Freedom. IROS 1992: 1935-1942 - 1991
- [c1]Akira Hayashi, Benjamin Kuipers:
Path Planning for Highly Redundant Manipulators Using a Continuous Model. AAAI 1991: 666-672
1980 – 1989
- 1982
- [j4]Akira Hayashi:
Delta Modulation of Time-Discrete Processes with i.i.d. Increments Having a Rational Characteristic Function. IEEE Trans. Commun. 30(3): 464-468 (1982)
1970 – 1979
- 1978
- [j3]Akira Hayashi:
Differential Pulse-Code Modulation of the Wiener Process. IEEE Trans. Commun. 26(6): 881-887 (1978) - [j2]Akira Hayashi:
Differential Pulse Code Modulation of Stationary Gaussian Inputs. IEEE Trans. Commun. 26(8): 1137-1147 (1978) - 1977
- [j1]Akira Hayashi:
Analysis of some digital transmission systems for analog signals (Ph.D. Thesis abstr.). IEEE Trans. Inf. Theory 23(2): 285 (1977)
Coauthor Index
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