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» Smooth Optimization with Approximate Gradient
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NIPS
1998
15 years 4 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»
15 years 3 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
13 years 5 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
15 years 4 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
16 years 4 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