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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2013-03-05
14:35		 Aichi Nagoya Institute of Technology *
Yusuke Kishi, Takuma Nakamura, Tatsuhiro Harada, Takashi Matsumoto (Waseda Univ.) IBISML2012-105		 Infinite Hidden Markov Random Fields have been proposed for image segmentation as a solution to the problem of automatic... [more] IBISML2012-105
pp.87-94
ICD 2012-12-18
09:30		 Tokyo Tokyo Tech Front A Hardware-Implementation-Friendly Algorithm Based on Hierarchical Models for Real-Time Human Action Recognition
Kazumi Fukuda, Tadashi Shibata (Univ. of Tokyo) ICD2012-113		 Naturally modeling the hierarchy and shared features of human actions such as running and jumping, we present a hardware... [more] ICD2012-113
pp.85-90
SIS, IPSJ-AVM 2012-09-20
12:50		 Osaka Tottori Pref. Osaka Office Huge Flow Detection in Crowded Scenes using Dependent Dirichlet Process HMM
Takuya Okamoto, Katsuya Kondo (Tottori Univ.) SIS2012-20		 In this report, we present the framework of huge flow detection in crowded scenes. The flow analysis is done by using De... [more] SIS2012-20
pp.23-28
IBISML 2011-11-09
15:45		 Nara Nara Womens Univ. An Accuracy Analysis of Latent Variable Estimation with the Maximum Likelihood Estimator
Keisuke Yamazaki (Tokyo Inst. of Tech.) IBISML2011-55		 Hierarchical learning models such as
mixture models and hidden Markov models
are widely used in machine learning and d... [more]		 IBISML2011-55
pp.87-91
NS, IN
(Joint)		 2010-03-05
09:30		 Miyazaki Miyazaki Phoenix Seagaia Resort (Miyazaki) Implementation and Evaluation of a Context-aware Power Management System
Hua Si, Fernando Panjaitan, Masateru Minami, Hiroyuki Morikawa (Univ. of Tokyo) IN2009-174		 Context-aware computing technologies provide great potential to help us adaptively reducing power consumption. We have p... [more] IN2009-174
pp.181-186
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