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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC
(Joint)
2015-12-19
16:15
Aichi Nagoya Institute of Technology A Learning Method for Extended SpikeProp without Redundant Spikes -- A Discussion on Methods to Suppress Redundant Connections --
Takashi Matsumoto, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka (Mie Univ.) NC2015-53
SpikeProp, which is proposed by Booij, is a kind of spiking neural networks. It can learn the timing of output spikes, b... [more] NC2015-53
pp.43-48
ET 2015-06-06
10:05
Mie Faculty of Engineering, Mie Univ. Supporting System for Quizzes in Descriptive Answer Style -- Analyse typing process for answer --
Kenji Hayakawa, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka (Mie Univ.) ET2015-11
Lecturers use quizzes to grasp students' understandings and make effective improvement of their class. But, it is hard i... [more] ET2015-11
pp.1-6
PRMU, MI, IE, SIP 2015-05-15
09:00
Mie   Improving Generalization Ability of SpikeProp Networks -- Method to Detect Inputs that Cause Problem --
Takuya Toyota, Yoichiro Kitagawa, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka (Mie Univ.) SIP2015-13 IE2015-13 PRMU2015-13 MI2015-13
Recently, spiking neural networks attracts many researchers attention as an artificial neural network model that has an ... [more] SIP2015-13 IE2015-13 PRMU2015-13 MI2015-13
pp.65-70
PRMU, MI, IE, SIP 2015-05-15
15:40
Mie   Segmentation and Classification of the Added Marks for Writer Adaptable Handwritten Hiragana Character Recognition
Isamu Fujii, Hiroharu Kawanaka, Haruhiko Takase, Hisanori Yagami, Shinji Tsuruoka (Mie Univ.) SIP2015-31 IE2015-31 PRMU2015-31 MI2015-31
Handwritten recognition system is used widely for the image captured by a digital camera, an image scanner or a touch pa... [more] SIP2015-31 IE2015-31 PRMU2015-31 MI2015-31
pp.167-171
MBE, NC
(Joint)
2014-12-13
13:40
Aichi Nagoya University A Learning Method for Extended SpikeProp without Redundant Spikes -- A Discussion on Time Delay --
Takashi Matsumoto, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka (Mie Univ) NC2014-52
SpikeProp, which is proposed by Booij,
is a kind of spiking neural networks.
It can learn the timing of output spik... [more]
NC2014-52
pp.49-53
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Computerized Quantification Method for Architectural Distortion on Breast Ultrasonographic Image and Its Application to the Histological Classification for Breast mass
Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Haruhiko Takase, Hiroharu Kawanaka, Tomoko Ogawa, Shinji Tsuruoka (Mie Univ.) MI2013-73
An architectural distortion is one of the important indications related to breast cancer on ultrasonographic images. It ... [more] MI2013-73
pp.91-95
PRMU, MI, IE 2011-05-20
10:00
Aichi   Extraction Method of Abnormal Part in Retinal Macular Region from Ophthalmic Three Dimensional Optical Coherence Tomography(OCT) Images
Naoki Takeno, Ai Yamakawa, Dai Kodama, Shinji Tsuruoka, Haruhiko Takase, Hiroharu Kawanaka, Yukitaka Uji, Hisashi Matsubara (Mie Univ.), Fumio Okumura (Suzuka Univ.) IE2011-22 PRMU2011-14 MI2011-14
Recently, Optical Coherence Tomography (OCT) have been developed that can capture three-dimensional tomographic images o... [more] IE2011-22 PRMU2011-14 MI2011-14
pp.75-79
PRMU, MI, IE 2011-05-20
15:10
Aichi   Computer aided diagnosis scheme for histological classification of breast mass on ultrasonic images
Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Nobuo Nakako, Hiroharu Kawanaka, Haruhiko Takase, Tomoko Ogawa, Shinji Tsuruoka (Mie Univ.) IE2011-35 PRMU2011-27 MI2011-27
The purpose of this study is to develop a computer-aided diagnosis scheme for histological classifications of breast mas... [more] IE2011-35 PRMU2011-27 MI2011-27
pp.153-158
 Results 1 - 8 of 8  /   
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