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DAGM
2011
Springer
14 years 4 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
14 years 16 days ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
ICCV
2001
IEEE
16 years 6 months ago
BraMBLe: A Bayesian Multiple-Blob Tracker
Blob trackers have become increasingly powerful in recent years largely due to the adoption of statistical appearance models which allow effective background subtraction and robus...
Michael Isard, John MacCormick
ICIP
2006
IEEE
16 years 6 months ago
Fast Construction of Covariance Matrices for Arbitrary Size Image Windows
We propose an integral image based algorithm to extract feature covariance matrices of all possible rectangular regions within a given image. Covariance is an essential indicator ...
Fatih Porikli, Oncel Tuzel
ICIP
2005
IEEE
16 years 6 months ago
Correlation estimation for distributed source coding under information exchange constraints
Distributed source coding (DSC) depends strongly on accurate knowledge of correlation between sources. Previous works have reported capacity-approaching code constructions when ex...
Ngai-Man Cheung, Huisheng Wang, Antonio Ortega