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» Learning from Partial Observations
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WACV
2012
IEEE
13 years 11 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
141
Voted
IJON
1998
158views more  IJON 1998»
15 years 3 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
144
Voted
WWW
2009
ACM
16 years 4 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
WWW
2005
ACM
16 years 4 months ago
Ranking a stream of news
According to a recent survey made by Nielsen NetRatings, searching on news articles is one of the most important activity online. Indeed, Google, Yahoo, MSN and many others have p...
Gianna M. Del Corso, Antonio Gulli, Francesco Roma...
116
Voted
ICDCSW
2003
IEEE
15 years 8 months ago
CATP: A Context-Aware Transportation Protocol for HTTP
— The rendering mechanism used in Web browsers have a significant impact on the user behavior and delay tolerance of retrieval. The head-of-line blocking phenomena prevents the ...
Huamin Chen, Prasant Mohapatra