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ICML
2010
IEEE
13 years 8 months ago
Non-Local Contrastive Objectives
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
11 years 9 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
CVPR
2012
IEEE
11 years 9 months ago
Saliency filters: Contrast based filtering for salient region detection
Saliency estimation has become a valuable tool in image processing. Yet, existing approaches exhibit considerable variation in methodology, and it is often difficult to attribute...
Federico Perazzi, Philipp Krähenbühl, Ya...
JMLR
2012
11 years 9 months ago
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
We consider the task of estimating, from observed data, a probabilistic model that is parameterized by a finite number of parameters. In particular, we are considering the situat...
Michael Gutmann, Aapo Hyvärinen
SCIA
2009
Springer
140views Image Analysis» more  SCIA 2009»
14 years 1 months ago
Fast Prototype Based Noise Reduction
This paper introduces a novel method for noise reduction in medical images based on concepts of the Non-Local Means algorithm. The main objective has been to develop a method that ...
Kajsa Tibell, Hagen Spies, Magnus Borga