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» Approximability of Probability Distributions
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TVCG
2008
192views more  TVCG 2008»
15 years 6 months ago
Anisotropic Noise Samples
We present a practical approach to generate stochastic anisotropic samples with Poisson-disk characteristic over a two-dimensional domain. In contrast to isotropic samples, we unde...
Louis Feng, Ingrid Hotz, Bernd Hamann, Kenneth I. ...
IPPS
2010
IEEE
15 years 4 months ago
Broadcasting on large scale heterogeneous platforms under the bounded multi-port model
We consider the problem of broadcasting a large message in a large scale distributed platform. The message must be sent from a source node, with the help of the receiving peers whi...
Olivier Beaumont, Lionel Eyraud-Dubois, Shailesh K...
WWW
2011
ACM
15 years 1 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
CEC
2011
IEEE
14 years 6 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
ICCV
2009
IEEE
1957views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Robust Visual Tracking using L1 Minimization
In this paper we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, corru...
Xue Mei, Haibin Ling