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» A Probability Model for Image Annotation
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NIPS
2001
15 years 3 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
121
Voted
IJCV
2006
129views more  IJCV 2006»
15 years 1 months ago
An a contrario Decision Framework for Region-Based Motion Detection
The aim of motion detection is to decide whether a given part of an image belongs to a moving object or to the static background. This paper proposes an automatic decision rule for...
Thomas Veit, Frédéric Cao, Patrick B...
IPL
2011
91views more  IPL 2011»
14 years 5 months ago
Fast leader election in anonymous rings with bounded expected delay
We propose a probabilistic network model, called asynchronous bounded expected delay (ABE), which requires a known bound on the expected message delay. In ABE networks all asynchr...
Rena Bakhshi, Jörg Endrullis, Wan Fokkink, Ju...
NLE
2010
127views more  NLE 2010»
15 years 6 days ago
Class-based approach to disambiguating Levin verbs
Lapata and Brew (2004) (hereafter LB04) obtain from untagged texts a statistical prior model that is able to generate class preferences for ambiguous Levin (1993) verbs (hereafter...
Jianguo Li, Chris Brew
CVPR
2003
IEEE
16 years 3 months ago
The Optimal Distance Measure for Object Detection
We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...
Shyjan Mahamud, Martial Hebert