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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
ICIP
2007
IEEE
14 years 9 months ago
Domain-Partitioning Rankboost for Face Recognition
In this paper we propose a domain partitioning RankBoost approach for face recognition. This method uses Local Gabor Binary Pattern Histogram (LGBPH) features for face representat...
Bangpeng Yao, Haizhou Ai, Yoshihisa Ijiri, Shihong...
IJCAI
2003
13 years 8 months ago
Active Learning with Strong and Weak Views: A Case Study on Wrapper Induction
Multi-view learners reduce the need for labeled data by exploiting disjoint sub-sets of features (views), each of which is sufficient for learning. Such algorithms assume that eac...
Ion Muslea, Steven Minton, Craig A. Knoblock
CIVR
2005
Springer
144views Image Analysis» more  CIVR 2005»
14 years 29 days ago
A Weakly Supervised Approach for Semantic Image Indexing and Retrieval
This paper presents a new approach for building semantic image indexing and retrieval systems. Our approach is composed of four phases : (1) knowledge acquisition, (2) weakly-super...
Nicolas Maillot, Monique Thonnat
BMVC
2002
13 years 9 months ago
Bundle adjustment: a fast method with weak initialisation
Bundle adjustment is one of the cornerstone to recover the scene structure from a sequence of images. The main drawback of this technique, due to nonlinear optimisation, is the ne...
Sébastien Cornou, Michel Dhome, Patrick Say...