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» Global Optimization for Value Function Approximation
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IJCAI
1997
13 years 10 months ago
Combining Probabilistic Population Codes
We study the problemof statisticallycorrect inference in networks whose basic representations are population codes. Population codes are ubiquitous in the brain, and involve the s...
Richard S. Zemel, Peter Dayan
CVPR
2010
IEEE
14 years 1 days ago
Discriminative K-SVD for Dictionary Learning in Face Recognition
In a sparse-representation-based face recognition scheme, the desired dictionary should have good representational power (i.e., being able to span the subspace of all faces) while...
Qiang Zhang, Baoxin Li
CEC
2011
IEEE
12 years 8 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
CRV
2005
IEEE
342views Robotics» more  CRV 2005»
13 years 10 months ago
PDE-Based Robust Robotic Navigation
In robotic navigation, path planning is aimed at getting the optimum collision-free path between a starting and target locations. The optimality criterion depends on the surroundi...
M. Sabry Hassouna, Alaa E. Abdel-Hakim, Aly A. Far...
BMCBI
2006
87views more  BMCBI 2006»
13 years 8 months ago
MathDAMP: a package for differential analysis of metabolite profiles
Background: With the advent of metabolomics as a powerful tool for both functional and biomarker discovery, the identification of specific differences between complex metabolite p...
Richard Baran, Hayataro Kochi, Natsumi Saito, Mako...