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Neural Computation
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June 13, 2014
A nonparametric clustering algorithm with a quantile-based likelihood estimator
Hideitsu Hino, Noboru Murata
Neural Computation
|
June 24, 2010
A grouped ranking model for item preference parameter
Hideitsu Hino, Yu Fujimoto, Noboru Murata
Neural Computation
|
March 15, 2011
An estimation of generalized bradley-terry models based on the em algorithm
Yu Fujimoto, Hideitsu Hino, Noboru Murata
Neural Networks : the Official Journal of the International Neural Network Society
|
March 26, 2015
Multi-frame image super resolution based on sparse coding
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Scientific Reports
|
May 27, 2018
Classification of volcanic ash particles using a convolutional neural network and probability
Daigo Shoji, Rina Noguchi, Shizuka Otsuki, et al.
Neural Computation
|
April 15, 2017
Local Intrinsic Dimension Estimation by Generalized Linear Modeling
Hideitsu Hino, Jun Fujiki, Shotaro Akaho, et al.
Neural Computation
|
September 15, 2016
Nonparametric e-Mixture Estimation
Ken Takano, Hideitsu Hino, Shotaro Akaho, et al.
Plos One
|
January 12, 2017
Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis
Tomoaki Chiba, Hideitsu Hino, Shotaro Akaho, et al.
Scientific Reports
|
September 29, 2024
Rational partitioning of spectral feature space for effective clustering of massive spectral image data
Yusei Ito, Yasuo Takeichi, Hideitsu Hino, et al.
Neural Computation
|
April 9, 2014
Intrinsic graph structure estimation using graph Laplacian
Atsushi Noda, Hideitsu Hino, Masami Tatsuno, et al.
Page
of 3
Search research articles
Search
Showing results (11-20 of 29) with videos related to
Sort By:
Page
of 3
Neural Computation
|
June 13, 2014
A nonparametric clustering algorithm with a quantile-based likelihood estimator
Hideitsu Hino, Noboru Murata
Neural Computation
|
June 24, 2010
A grouped ranking model for item preference parameter
Hideitsu Hino, Yu Fujimoto, Noboru Murata
Neural Computation
|
March 15, 2011
An estimation of generalized bradley-terry models based on the em algorithm
Yu Fujimoto, Hideitsu Hino, Noboru Murata
Neural Networks : the Official Journal of the International Neural Network Society
|
March 26, 2015
Multi-frame image super resolution based on sparse coding
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Scientific Reports
|
May 27, 2018
Classification of volcanic ash particles using a convolutional neural network and probability
Daigo Shoji, Rina Noguchi, Shizuka Otsuki, et al.
Neural Computation
|
April 15, 2017
Local Intrinsic Dimension Estimation by Generalized Linear Modeling
Hideitsu Hino, Jun Fujiki, Shotaro Akaho, et al.
Neural Computation
|
September 15, 2016
Nonparametric e-Mixture Estimation
Ken Takano, Hideitsu Hino, Shotaro Akaho, et al.
Plos One
|
January 12, 2017
Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis
Tomoaki Chiba, Hideitsu Hino, Shotaro Akaho, et al.
Scientific Reports
|
September 29, 2024
Rational partitioning of spectral feature space for effective clustering of massive spectral image data
Yusei Ito, Yasuo Takeichi, Hideitsu Hino, et al.
Neural Computation
|
April 9, 2014
Intrinsic graph structure estimation using graph Laplacian
Atsushi Noda, Hideitsu Hino, Masami Tatsuno, et al.
Page
of 3