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TIP
2010
141views more  TIP 2010»
15 years 1 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
TMI
2010
123views more  TMI 2010»
15 years 1 months ago
Optimal Experimental Design for Diffusion Kurtosis Imaging
Diffusion Kurtosis Imaging (DKI) is a new magnetic resonance imaging model that describes the non-Gaussian diffusion behavior in tissues. It has recently been shown that DKI param...
Dirk H. J. Poot, Arnold Jan den Dekker, Eric Achte...
TON
2010
139views more  TON 2010»
15 years 1 months ago
Opportunistic and Cooperative Spatial Multiplexing in MIMO Ad Hoc Networks
With the fast progress of MIMO technology and its growing applications in networks, it is important to develop techniques to enable more efficient MIMO network communications. Howe...
Shan Chu, Xin Wang
TROB
2010
159views more  TROB 2010»
15 years 1 months ago
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Ales Ude, Andrej Gams, Tamim Asfour, Jun Morimoto
TSP
2010
15 years 1 months ago
Double sparsity: learning sparse dictionaries for sparse signal approximation
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
Ron Rubinstein, Michael Zibulevsky, Michael Elad
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