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ICASSP
2008
IEEE
16 years 16 days ago
Sparse and shift-invariant feature extraction from non-negative data
In this paper we describe a technique that allows the extraction of multiple local shift-invariant features from analysis of non-negative data of arbitrary dimensionality. Our app...
Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Sh...
152
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CVIU
2007
120views more  CVIU 2007»
15 years 6 months ago
A comparison of Gaussian and mean curvature estimation methods on triangular meshes of range image data
Estimating intrinsic geometric properties of a surface from a polygonal mesh obtained from range data is an important stage of numerous algorithms in computer and robot vision, co...
Evgeni Magid, Octavian Soldea, Ehud Rivlin
BMCBI
2006
170views more  BMCBI 2006»
15 years 6 months ago
Biclustering of gene expression data by non-smooth non-negative matrix factorization
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
PLDI
2003
ACM
15 years 11 months ago
Compile-time composition of run-time data and iteration reorderings
Many important applications, such as those using sparse data structures, have memory reference patterns that are unknown at compile-time. Prior work has developed runtime reorderi...
Michelle Mills Strout, Larry Carter, Jeanne Ferran...
AAIM
2007
Springer
97views Algorithms» more  AAIM 2007»
15 years 10 months ago
Efficiency of Data Distribution in BitTorrent-Like Systems
BitTorrent (BT) in practice is a very efficient method to share data over a network of clients. In this paper we extend the recent work of Arthur and Panigrahy [1] on modelling the...
Ho-Leung Chan, Tak Wah Lam, Prudence W. H. Wong