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180
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ICML
2010
IEEE
15 years 8 months ago
Modeling Interaction via the Principle of Maximum Causal Entropy
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
Brian Ziebart, J. Andrew Bagnell, Anind K. Dey
172
Voted
IEICET
2008
110views more  IEICET 2008»
15 years 7 months ago
Language Modeling Using PLSA-Based Topic HMM
In this paper, we propose a PLSA-based language model for sports live speech. This model is implemented in unigram rescaling technique that combines a topic model and an n-gram. I...
Atsushi Sako, Tetsuya Takiguchi, Yasuo Ariki
COLING
2002
15 years 6 months ago
A Measure of Term Representativeness Based on the Number of Co-occurring Salient Words
We propose a novel measure of the representativeness (i.e., indicativeness or topic specificity) of a term in a given corpus. The measure embodies the idea that the distribution o...
Toru Hisamitsu, Yoshiki Niwa
ECCV
2002
Springer
16 years 8 months ago
Automatic Detection and Tracking of Human Motion with a View-Based Representation
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
Ronan Fablet, Michael J. Black
179
Voted
IPMI
2009
Springer
16 years 7 months ago
Estimating Uncertainty in Brain Region Delineations
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
Karl R. Beutner, Gautam Prasad, Evan Fletcher, Cha...