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VMV
2004
123views Visualization» more  VMV 2004»
15 years 20 days ago
Hierarchy Accelerated Stochastic Collision Detection
In this paper we present a new framework for collision and self-collision detection for highly deformable objects such as cloth. It permits to efficiently trade off accuracy for s...
Stefan Kimmerle, Matthieu Nesme, François F...
CORR
2010
Springer
149views Education» more  CORR 2010»
14 years 11 months ago
A probabilistic and RIPless theory of compressed sensing
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
Emmanuel J. Candès, Yaniv Plan
JSAT
2008
63views more  JSAT 2008»
14 years 11 months ago
Whose side are you on? Finding solutions in a biased search-tree
We introduce a new jump strategy for look-ahead based satisfiability (Sat) solvers that aims to boost their performance on satisfiable formulae, while maintaining their behavior o...
Marijn Heule, Hans van Maaren
CORR
2012
Springer
183views Education» more  CORR 2012»
13 years 7 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
13 years 1 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...