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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2016-03-18
10:00
Tokyo Institute of Statistical Mathematics An Efficient Tensor Spectral Algorithm for Learning Rank Deficient Co-cluster Structure from Large Scale Relational Data
Hideo Umetani, Iku Ohama (Panasonic Co., Ltd) IBISML2015-99
The Stochastic Block Model (SBM) is a well-known relational model for discovering co-cluster structure from relational d... [more] IBISML2015-99
pp.39-46
IBISML 2012-03-12
10:00
Tokyo The Institute of Statistical Mathematics Chance Adjusted Infinite Relational Model for Asymmetric and Individually Different Relational Data Analysis
Iku Ohama, Hiromi Iida (Panasonic), Takuya Kida, Hiroki Arimura (Hokkaido Univ.) IBISML2011-87
We propose a new generative model which analyses asymmetric and individually different relational data. In our proposed ... [more] IBISML2011-87
pp.1-8
IBISML 2011-03-28
10:20
Osaka Nakanoshima Center, Osaka Univ. Event Clustering Method based on Linear HMM for Geotagged Personal Contents
Iku Ohama (Panasonic), Takuya Kida, Hiroki Arimura (Hokkaido Univ.), Toshihisa Abe (Panasonic) IBISML2010-105
We discuss the geographical clustering problem on human activity logs. In this Paper, we formulate the problem as a segm... [more] IBISML2010-105
pp.9-16
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