Nobuo Suematsu

Publication Activity (10 Years)

Years Active: 1997-2019
Publications (10 Years): 5

Top Topics

Hyperparameters

Model For Image Segmentation

Gaussian Process

Top Venues

IEICE Trans. Inf. Syst.

Pattern Recognit.

Publications

Kazuya Ose, Kazunori Iwata, Nobuo Suematsu
Sampling Shape Contours Using Optimization over a Geometric Graph. IEICE Trans. Inf. Syst. (12) (2019)
Minori Ihara, Kazunori Iwata, Nobuo Suematsu, Kazushi Mimura
Typical Performance of Sparse Signal Recovery from a Linear Measurement with Large Coherence. ISITA (2018)
Hiroki Yamamoto, Kazunori Iwata, Nobuo Suematsu, Kazushi Mimura
A Shape Matching Method Considering Computational Feasibility. SPML (2018)
Kazuya Ose, Kazunori Iwata, Nobuo Suematsu
A sampling method for processing contours drawn with an uncertain stroke order and number. MVA (2017)
Tsukasa Okamoto, Kazunori Iwata, Nobuo Suematsu
Extending the Full Procrustes Distance to Anisotropic Scale in Shape Analysis. ACPR (2017)
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)
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)
Shinji Akimoto, Nobuo Suematsu
A nonparametric Bayesian approach to time series alignment. NaBIC (2010)
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)
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, 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)
Nobuo Suematsu, Akira Hayashi
A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory. NIPS (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)