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» Using Probabilistic Information in Data Integration
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ICPR
2004
IEEE
14 years 8 months ago
Probabilistic Object Tracking Using Multiple Features
We present a generic tracker which can handle a variety of different objects. For this purpose, groups of low-level features like interest points, edges, homogeneous and textured ...
David Serby, Esther Koller-Meier, Luc J. Van Gool
PCM
2004
Springer
135views Multimedia» more  PCM 2004»
14 years 29 days ago
Probabilistic Face Tracking Using Boosted Multi-view Detector
Face tracking in realistic environments is a difficult problem due to pose variations, occlusions of objects, illumination changes and cluttered background, among others. The paper...
Peihua Li, Haijing Wang
ICPR
2008
IEEE
14 years 8 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
ECIR
2009
Springer
14 years 4 months ago
A Probabilistic Retrieval Model for Semistructured Data
Abstract. Retrieving semistructured (XML) data typically requires either a structured query such as XPath, or a keyword query that does not take structure into account. In this pap...
Jinyoung Kim, Xiaobing Xue, W. Bruce Croft
DATAMINE
2006
130views more  DATAMINE 2006»
13 years 7 months ago
Mining Adaptive Ratio Rules from Distributed Data Sources
Different from traditional association-rule mining, a new paradigm called Ratio Rule (RR) was proposed recently. Ratio rules are aimed at capturing the quantitative association kno...
Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSh...