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» Input Modeling Using Quantile Statistical Methods
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CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen
CIKM
2009
Springer
15 years 9 months ago
Enhancing expertise retrieval using community-aware strategies
Expertise retrieval has received increased interests in recent years, whose task is to suggest people with relevant expertise. Motivated by the observation that communities could ...
Hongbo Deng, Irwin King, Michael R. Lyu
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 9 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
TASLP
2011
14 years 10 months ago
A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models
—We present a simple and efficient feature modeling approach for tracking the pitch of two simultaneously active speakers. We model the spectrogram features of single speakers u...
Michael Wohlmayr, Michael Stark, Franz Pernkopf
LREC
2010
150views Education» more  LREC 2010»
15 years 4 months ago
Achieving Domain Specificity in SMT without Overt Siloing
We examine pooling data as a method for improving Statistical Machine Translation (SMT) quality for narrowly defined domains, such as data for a particular company or public entit...
William D. Lewis, Chris Wendt, David Bullock