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» Smooth Optimization with Approximate Gradient
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NIPS
1998
13 years 9 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
ADHOC
2008
134views more  ADHOC 2008»
13 years 7 months ago
Data aggregated maximum lifetime routing for wireless sensor networks
In this paper, we present a data aggregated maximum lifetime routing scheme for wireless sensor networks. We address the problem of jointly optimizing data aggregation and routing...
Cunqing Hua, Tak-Shing Peter Yum
PAMI
2012
11 years 10 months ago
Face Recognition Using Sparse Approximated Nearest Points between Image Sets
—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
Yiqun Hu, Ajmal S. Mian, Robyn A. Owens
WSC
2004
13 years 9 months ago
Stochastic Approximation with Simulated Annealing as an Approach to Global Discrete-Event Simulation Optimization
This paper explores an approach to global, stochastic, simulation optimization which combines stochastic approximation (SA) with simulated annealing (SAN). SA directs a search of ...
Matthew H. Jones, K. Preston White
ICIP
2001
IEEE
14 years 9 months ago
An adaptive update lifting scheme with perfect reconstruction
The lifting scheme provides a general and flexible tool for the construction of wavelet decompositions and perfect reconstruction filter banks. In this paper we propose an adaptiv...
Gemma Piella, Henk J. A. M. Heijmans