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» Classifying Problems into Complexity Classes
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106
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ICMCS
2009
IEEE
132views Multimedia» more  ICMCS 2009»
14 years 11 months ago
Video face recognition with graph-based semi-supervised learning
We consider the problem of classification of multiple observations of the same object, possibly under different transformations. We view this problem as a special case of semi-sup...
Effrosini Kokiopoulou, Pascal Frossard
87
Voted
ICONIP
2009
14 years 10 months ago
Quasi-Deterministic Partially Observable Markov Decision Processes
We study a subclass of POMDPs, called quasi-deterministic POMDPs (QDET-POMDPs), characterized by deterministic actions and stochastic observations. While this framework does not mo...
Camille Besse, Brahim Chaib-draa
114
Voted
ICPR
2006
IEEE
16 years 2 months ago
Forest Extension of Error Correcting Output Codes and Boosted Landmarks
In this paper, we introduce a robust novel approach for detecting objects category in cluttered scenes by generating boosted contextual descriptors of landmarks. In particular, ou...
Oriol Pujol, Petia Radeva, Sergio Escalera
112
Voted
PAMI
2006
206views more  PAMI 2006»
15 years 1 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
ATAL
2003
Springer
15 years 6 months ago
Transition-independent decentralized markov decision processes
There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). However, similar treatment of m...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...