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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2014-03-17
15:20
Tokyo Tamagawa University Estimate the triaxial gradients of skew symmetric shapes using asymmetry of outline of the shapes on a neural network model
Takashi Sugiura, Kazushi Murakoshi (Toyohashi Univ. Tech.) NC2013-98
It is possible for humans to estimate the gradients of the depth direction of the object in monocular. Some researchers ... [more] NC2013-98
pp.59-62
NC, MBE
(Joint)
2014-03-18
13:40
Tokyo Tamagawa University Flexible shaping reinforcement learning for environmental changing by using value of aggregating state to state-action value
Shinnosuke Oka, Kazushi Murakoshi (Toyohashi Univ. Tech.) NC2013-138
Shaping reinforcement learning is a method to speed up the learning process by providing additional shaping reward that ... [more] NC2013-138
pp.287-292
NC, MBE
(Joint)
2014-03-18
15:40
Tokyo Tamagawa University Improvement of sound source localization accuracy by correcting Head-Related Transfer Function based on equal-loudness-level contours and aural characteristic
Yukinori Ohashi, Kazushi Murakoshi (Toyohashi Univ. Tech.) NC2013-143
In this study, we proposed an improved method of localization accuracy based on equal-loudness-level contours and human ... [more] NC2013-143
pp.317-322
NC, MBE
(Joint)
2012-12-12
16:05
Aichi Toyohashi University of Technology Improvement of sound localization accuracy by correcting Head-Related Transfer Function based on aural characteristic
Yukinori Ohashi, Kazushi Murakoshi (Toyohashi Univ. Tech.) NC2012-91
In this study, we proposed an improved method of localization accuracy based on human aural characteristic in which the ... [more] NC2012-91
pp.85-88
NC, MBE
(Joint)
2012-12-12
09:00
Aichi Toyohashi University of Technology Appropriate shaping rewards in reinforcement learning by aggregating transported states
Shinnosuke Oka, Kazushi Murakoshi (Toyohashi Univ. Tech.) NC2012-74
Reinforcement learning adapting the idea of ``Shaping'' is a method to speed up the learning process by giving additiona... [more] NC2012-74
pp.1-6
NC, MBE
(Joint)
2012-12-12
09:25
Aichi Toyohashi University of Technology The reinforcement learning method that introduced diversive curiosity to induce actions to unknown information.
Takeshi Nakahata, Kazushi Murakoshi (Toyohashi Univ. of Tech.) NC2012-75
When the agent is in the face of actions to be learned in reinforcement learning, it is necessary to determine the prope... [more] NC2012-75
pp.7-12
NC, MBE
(Joint)
2012-12-12
14:50
Aichi Toyohashi University of Technology Estimate the gradients of skew symmetric shapes using asymmetry of the shapes on a neural network model
Takashi Sugiura, Kazushi Murakoshi (Toyohashi Univ Tech.) NC2012-84
It is possible for humans to estimate the gradients of the depth direction of the object in monocular. Some researchers ... [more] NC2012-84
pp.45-48
NC, MBE
(Joint)
2012-12-12
15:15
Aichi Toyohashi University of Technology An image restoration method using the similarity of the outline added to the similarity of pixel value
Yuichi Furuki, Kazushi Murakoshi (Toyohashi Univ. of Tech.) NC2012-85
The research on image restoration is performed to make restored image conform to original image, but there are some case... [more] NC2012-85
pp.49-54
NC, MBE
(Joint)
2008-03-12
10:40
Tokyo Tamagawa Univ A neural circuit model of short-term memory for changing in total number of items recalled depending on their relationships
Tora Sawaguchi, Kazushi Murakoshi (Toyohashi Univ. Tec.) NC2007-114
It is said that the capacity of information that can be stored in short-term memory is seven chunks.
It is suggested th... [more]
NC2007-114
pp.13-18
NC, MBE
(Joint)
2008-03-12
13:50
Tokyo Tamagawa Univ Image correction method for effect of color contrast
Mai Miura, Kazushi Murakoshi (Toyohashi Univ. Tech.) NC2007-119
In the effect of color contrast, the impression of a color changes with situations; there is a case in which it is misun... [more] NC2007-119
pp.43-48
NC, MBE
(Joint)
2008-03-14
15:30
Tokyo Tamagawa Univ Growing self-organizing map using input history
Yuichi Sato, Kazushi Murakoshi (Toyohashi Univ. Tech.) NC2007-198
The Self-organizing map (SOM) has two problems on its learning.
One problem is that the SOM is dependent on the settin... [more]
NC2007-198
pp.507-512
 Results 1 - 11 of 11  /   
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