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» Learning Generic Prior Models for Visual Computation
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ALMOB
2008
95views more  ALMOB 2008»
14 years 12 months ago
A stitch in time: Efficient computation of genomic DNA melting bubbles
Background: It is of biological interest to make genome-wide predictions of the locations of DNA melting bubbles using statistical mechanics models. Computationally, this poses th...
Eivind Tøstesen
VIZSEC
2004
Springer
15 years 5 months ago
Visualizing windows executable viruses using self-organizing maps
This paper concentrates on visualizing computer viruses without using virus specific signature information as a prior stage of the very important problem of detecting computer vi...
InSeon Yoo
CVPR
2008
IEEE
16 years 1 months ago
Decomposition, discovery and detection of visual categories using topic models
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
Mario Fritz, Bernt Schiele
CVPR
2007
IEEE
16 years 1 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
CVPR
2007
IEEE
16 years 1 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman