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» Models for Incomplete and Probabilistic Information
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CVPR
2007
IEEE
16 years 6 months ago
Spatio-Temporal Markov Random Field for Video Denoising
This paper presents a novel spatio-temporal Markov random field (MRF) for video denoising. Two main issues are addressed in this paper, namely, the estimation of noise model and t...
Jia Chen, Chi-Keung Tang
127
Voted
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
16 years 5 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
JAIR
2008
107views more  JAIR 2008»
15 years 4 months ago
Planning with Durative Actions in Stochastic Domains
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Mausam, Daniel S. Weld
VLDB
2007
ACM
132views Database» more  VLDB 2007»
15 years 10 months ago
EntityRank: Searching Entities Directly and Holistically
As the Web has evolved into a data-rich repository, with the standard “page view,” current search engines are becoming increasingly inadequate for a wide range of query tasks....
Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang
WWW
2006
ACM
16 years 5 months ago
Mining clickthrough data for collaborative web search
This paper is to investigate the group behavior patterns of search activities based on Web search history data, i.e., clickthrough data, to boost search performance. We propose a ...
Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng...