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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2015-11-27
14:00		 Ibaraki Epochal Tsukuba [Poster Presentation] Clustering Features based on Simultaneous Manifold Learning
Masayuki Karasuyama (NIT), Hiroshi Mamitsuka (Kyoto Univ.) IBISML2015-79		  [more] IBISML2015-79
pp.195-201
IBISML 2013-03-05
16:30		 Aichi Nagoya Institute of Technology Similarity adaptation for label propagation based on local linear reconstruction
Masayuki Karasuyama, Hiroshi Mamitsuka (Kyoto Univ.) IBISML2012-109		 Label propagation is one of the state-of-the-art methods for semi-supervised
learning,
which estimates labels by pro... [more]		 IBISML2012-109
pp.115-121
IBISML 2012-11-07
15:30		 Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Propagating Labels via Sparse Combination of Multiple Graphs
Masayuki Karasuyama, Hiroshi Mamitsuka (Kyoto Univ.) IBISML2012-58		 Label propagation is a widely accepted approach in graph-based
semi-supervised learning that predicts labels of nodes ... [more]		 IBISML2012-58
pp.171-178
PRMU, DE 2008-06-19
13:00		 Hokkaido Otaru-Shimin-Kaikan [Invited Talk] Clustering numerical vectors with a modular network
Hiroshi Mamitsuka (Kyoto Univ.) 		 [more]
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