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ICCV
2009
IEEE
16 years 2 months ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
JAIR
2006
157views more  JAIR 2006»
14 years 9 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...
JMLR
2006
140views more  JMLR 2006»
14 years 9 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
VCIP
2000
128views Communications» more  VCIP 2000»
14 years 11 months ago
Video Quality Experts Group: current results and future directions
Subjective assessment methods have been used reliably for many years to evaluate video quality. They continue to provide the most reliable assessments compared to objective method...
Ann M. Rohaly, Philip J. Corriveau, John M. Libert...
CVPR
2009
IEEE
16 years 5 months ago
A Perceptually Motivated Online Benchmark for Image Matting
The availability of quantitative online benchmarks for low-level vision tasks such as stereo and optical flow has led to significant progress in the respective fields. This paper...
Christoph Rhemann (Vienna University of Technology...