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» The Computational Complexity of Weak Saddles
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ICCV
2011
IEEE
12 years 7 months ago
Strong Supervision From Weak Annotation: Interactive Training of Deformable Part Models
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...
Steven Branson, Pietro Perona, Serge Belongie
ICPR
2002
IEEE
14 years 8 months ago
A Robust License-Plate Extraction Method under Complex Image Conditions
A robust approach for extracting car license plate from images with complex background and relatively poor quality is presented in this paper. The approach focuses on dealing with...
Sunghoon Kim, Daechul Kim, Younbok Ryu, Gyeonghwan...
AAMAS
2005
Springer
13 years 7 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
PRL
2008
213views more  PRL 2008»
13 years 7 months ago
Boosting recombined weak classifiers
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
Juan José Rodríguez, Jesús Ma...
JPDC
2007
191views more  JPDC 2007»
13 years 7 months ago
Clustering wireless ad hoc networks with weakly connected dominating set
The increasing popular personal communications and mobile computing require a wireless network infrastructure that supports selfconfiguration and self-management. Efficient clus...
Bo Han, Weijia Jia