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ACCV
2010
Springer
13 years 5 months ago
One-Class Classification with Gaussian Processes
Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investig...
Michael Kemmler, Erik Rodner, Joachim Denzler
ICIP
2002
IEEE
14 years 11 months ago
DCT approximation for low bit rate coding using a conditional transform
A transform approximation is explored for speeding up the software compression of images and video. It is used to replace the regular DCT whenever only few DCT coefficients are ac...
Ricardo L. de Queiroz
ICIP
2009
IEEE
14 years 11 months ago
A Graph-cut Based Algorithm For Approximate Mrf Optimization
This paper copes with the approximate minimization of Markovian energy with pairwise interactions. We extend previous approaches that rely on graph-cuts and move making techniques...
ICML
2007
IEEE
14 years 11 months ago
Most likely heteroscedastic Gaussian process regression
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
Kristian Kersting, Christian Plagemann, Patrick Pf...
ICML
2006
IEEE
14 years 11 months ago
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
Mauro Maggioni, Sridhar Mahadevan