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» Tracking with general regression
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CVPR
2004
IEEE
14 years 12 months ago
A Probabilistic Framework for Combining Tracking Algorithms
For the past few years researches have been investigating enhancing tracking performance by combining several different tracking algorithms. We propose an analytically justified, ...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
ICCV
2007
IEEE
14 years 11 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...
ICML
2005
IEEE
14 years 10 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
CVPR
2010
IEEE
14 years 3 months ago
Generalized Simultaneous Registration and Segmentation
Simultaneous registration and segmentation (SRS) provides a powerful framework for tracking an object of interest in an image sequence. The state-of-the-art SRSbased tracking meth...
Pratim Ghosh, Mehmet Emre Sargin, B.S. Manjunath
CLEF
2008
Springer
13 years 11 months ago
Back to Basics - Again - for Domain-Specific Retrieval
In this paper we will describe Berkeley's approach to the Domain Specific (DS) track for CLEF 2008. Last year we used Entry Vocabulary Indexes and Thesaurus expansion approac...
Ray R. Larson