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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
15 years 6 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
IPPS
1998
IEEE
15 years 4 months ago
Performance Prediction in Production Environments
Accurate performance predictions are difficult to achieve for parallel applications executing on production distributed systems. Conventional point-valued performance parameters a...
Jennifer M. Schopf, Francine Berman
ICDE
2006
IEEE
163views Database» more  ICDE 2006»
16 years 1 months ago
A Sampling-Based Approach to Optimizing Top-k Queries in Sensor Networks
Wireless sensor networks generate a vast amount of data. This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in battery-powered ...
Adam Silberstein, Carla Schlatter Ellis, Jun Yang ...
COLT
2008
Springer
15 years 1 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
COMMA
2006
15 years 1 months ago
CBR and Argument Schemes for Collaborative Decision Making
In this paper we present a novel approach for combining Case-Based Reasoning (CBR) and Argumentation. This approach involves 1) the use of CBR for evaluating the arguments submitt...
Pancho Tolchinsky, Sanjay Modgil, Ulises Cort&eacu...