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ICML
2006
IEEE
14 years 9 months ago
Totally corrective boosting algorithms that maximize the margin
We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...
Gunnar Rätsch, Jun Liao, Manfred K. Warmuth
ICDCS
2007
IEEE
14 years 3 months ago
Distributed Density Estimation Using Non-parametric Statistics
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Yusuo Hu, Hua Chen, Jian-Guang Lou, Jiang Li
CEC
2009
IEEE
14 years 1 months ago
Parallel BMDA with an aggregation of probability models
—The paper is focused on the problem of aggregation of probability distribution applicable for parallel Bivariate Marginal Distribution Algorithm (pBMDA). A new approach based on...
Jirí Jaros, Josef Schwarz
ICCV
2009
IEEE
13 years 6 months ago
Realtime background subtraction from dynamic scenes
This paper examines the problem of moving object detection. More precisely, it addresses the difficult scenarios where background scene textures in the video might change over tim...
Li Cheng, Minglun Gong
SPAA
2006
ACM
14 years 2 months ago
Towards automatic parallelization of tree reductions in dynamic programming
Tree contraction algorithms, whose idea was first proposed by Miller and Reif, are important parallel algorithms to implement efficient parallel programs manipulating trees. Desp...
Kiminori Matsuzaki, Zhenjiang Hu, Masato Takeichi