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» Distributed sparse linear regression
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SIGIR
2002
ACM
13 years 5 months ago
Collaborative filtering with privacy via factor analysis
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
John F. Canny
ICPP
1990
IEEE
13 years 10 months ago
Reducing Memory and Traffic Requirements for Scalable Directory-Based Cache Coherence Schemes
As multiprocessors are scaled beyond single bus systems, there is renewed interest in directory-based cache coherence schemes. These schemes rely on a directory to keep track of a...
Anoop Gupta, Wolf-Dietrich Weber, Todd C. Mowry
PREMI
2005
Springer
13 years 11 months ago
Fusing Depth and Video Using Rao-Blackwellized Particle Filter
We address the problem of fusing sparse and noisy depth data obtained from a range finder with features obtained from intensity images to estimate ego-motion and refine 3D struct...
Amit K. Agrawal, Rama Chellappa
NAA
2000
Springer
125views Mathematics» more  NAA 2000»
13 years 9 months ago
Matrix Computations Using Quasirandom Sequences
Abstract. The convergence of Monte Carlo method for numerical integration can often be improved by replacing pseudorandom numbers (PRNs) with more uniformly distributed numbers kno...
Michael Mascagni, Aneta Karaivanova
TMI
2008
136views more  TMI 2008»
13 years 6 months ago
Classification of fMRI Time Series in a Low-Dimensional Subspace With a Spatial Prior
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
François G. Meyer, Xilin Shen