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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2012-11-08
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Local Semi-supervised Gaussian Process Regression based-on Clustering
Xinlu Guo (Kobe Univ.), Yoshiaki Yasumura (SIT), Kuniaki Uehara (Kobe Univ.) IBISML2012-86
The majority of the existing graph-based semi-supervised learning algorithms have been applied to the classification tas... [more] IBISML2012-86
KBSE 2011-01-25
Tokyo Kikai-Shinko-Kaikan Bldg. Early Topic Detection from Topic Frequency Transition with Semi-supervised Learning
Hiroyoshi Takahashi (Kobe Univ.), Yoshiaki Yasumura (Shibaura IT), Kuniaki Uehara (Kobe Univ.) KBSE2010-40
This report presents a method for early potential topic detection from blog articles. Potential topic is defined as a ph... [more] KBSE2010-40
KBSE 2011-01-25
Tokyo Kikai-Shinko-Kaikan Bldg. Learning from Partially Supervised Data Stream Using Past Instances To Label Clusters
Tatsuya Kosaka (Kobe Univ.), Yoshiaki Yasumura (Shibaura It.), Kuniaki Uehara (Kobe Univ.) KBSE2010-41
This report presents a learning method for a partially supervised data stream that contains few labeled positive and unl... [more] KBSE2010-41
PRMU, IE 2008-03-11
Ishikawa   *
, Yoshiaki Yasumura, Kuniaki Uehara (Kobe Univ.) IE2007-346 PRMU2007-330
We propose a new method for 3D reconstruction by a machine learning approach.
Existing methods for 3D reconstruction ar... [more]
IE2007-346 PRMU2007-330
NLC 2008-02-07
Niigata Yuzawa Culture Center Reputation Retrieval Support System Using Relationship between Review and Score of Each Attribute
Takayuki Yamada, Yoshiaki Yasumura, Kuniaki Uehara (Kobe Univ.) NLC2007-87
In this paper, we propose a reputation information retrieval support system which displays detailed reputation informati... [more] NLC2007-87
NLC 2008-02-08
Niigata Yuzawa Culture Center Negotiation system considering personality by state transition diagram and text classification
Takao Mori, Yoshiaki Yasumura, Kuniaki Uehara (Kobe Univ.) NLC2007-100
This report describes a negotiation system considering personality of a user.By considering personality,this system can ... [more] NLC2007-100
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