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ICIP
2009
IEEE
16 years 23 days ago
Using Sparse Regression To Learn Effective Projections For Face Recognition
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
ICASSP
2007
IEEE
15 years 6 months ago
Quantized Sparse Approximation with Iterative Thresholding for Audio Coding
Sparse coding is a new field in signal processing with possible applications to source coding. In this paper we present a new method that combines the problems of sparse signal a...
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davie...
ECML
2005
Springer
15 years 5 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
JMLR
2010
125views more  JMLR 2010»
14 years 6 months ago
Regret Bounds for Gaussian Process Bandit Problems
Bandit algorithms are concerned with trading exploration with exploitation where a number of options are available but we can only learn their quality by experimenting with them. ...
Steffen Grünewälder, Jean-Yves Audibert,...
CDC
2009
IEEE
133views Control Systems» more  CDC 2009»
15 years 4 months ago
Arbitrarily modulated Markov decision processes
— We consider decision-making problems in Markov decision processes where both the rewards and the transition probabilities vary in an arbitrary (e.g., nonstationary) fashion. We...
Jia Yuan Yu, Shie Mannor