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TSP
2010
14 years 5 months ago
Recursive least squares dictionary learning algorithm
We present the Recursive Least Squares Dictionary Learning Algorithm, RLSDLA, which can be used for learning overcomplete dictionaries for sparse signal representation. Most Dicti...
Karl Skretting, Kjersti Engan
TVCG
2010
165views more  TVCG 2010»
14 years 5 months ago
Binary Mesh Partitioning for Cache-Efficient Visualization
Abstract--One important bottleneck when visualizing large data sets is the data transfer between processor and memory. Cacheaware (CA) and cache-oblivious (CO) algorithms take into...
Marc Tchiboukdjian, Vincent Danjean, Bruno Raffin
TWC
2010
14 years 5 months ago
Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering
We proposed compressive data gathering (CDG) that leverages compressive sampling (CS) principle to efficiently reduce communication cost and prolong network lifetime for large scal...
Chong Luo, Feng Wu, Jun Sun, Chang Wen Chen
VRIPHYS
2010
14 years 5 months ago
Optimization-based Fluid Simulation on Unstructured Meshes
We present a novel approach to fluid simulation, allowing us to take into account the surface energy in a precise manner. This new approach combines a novel, topology-adaptive app...
Marek Krzysztof Misztal, Robert Bridson, Kenny Erl...
BMCBI
2011
14 years 5 months ago
SNP-based pathway enrichment analysis for genome-wide association studies
Background: Recently we have witnessed a surge of interest in using genome-wide association studies (GWAS) to discover the genetic basis of complex diseases. Many genetic variatio...
Lingjie Weng, Fabio Macciardi, Aravind Subramanian...
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