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» Markov Random Field Modeling in Computer Vision
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ACCV
2009
Springer
14 years 3 months ago
Visual Saliency Based Object Tracking
Abstract. This paper presents a novel method of on-line object tracking with the static and motion saliency features extracted from the video frames locally, regionally and globall...
Geng Zhang, Zejian Yuan, Nanning Zheng, Xingdong S...
TCS
2002
13 years 8 months ago
Process algebra for performance evaluation
This paper surveys the theoretical developments in the field of stochastic process algebras, process algebras where action occurrences may be subject to a delay that is determined...
Holger Hermanns, Ulrich Herzog, Joost-Pieter Katoe...
CORR
2012
Springer
183views Education» more  CORR 2012»
12 years 4 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
CIKM
2008
Springer
13 years 11 months ago
Passage relevance models for genomics search
We present a passage relevance model for integrating syntactic and semantic evidence of biomedical concepts and topics using a probabilistic graphical model. Component models of t...
Jay Urbain, Ophir Frieder, Nazli Goharian
ICPR
2010
IEEE
14 years 14 days ago
Accurate Dense Stereo by Constraining Local Consistency on Superpixels
Segmentation is a low-level vision cue often deployed by stereo algorithms to assume that disparity within superpixels varies smoothly. In this paper, we show that constraining, o...
Stefano Mattoccia