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» Optimal sampling from distributed streams
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CEC
2010
IEEE
13 years 8 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
MMSYS
2012
199views more  MMSYS 2012»
12 years 5 months ago
AngelCast: cloud-based peer-assisted live streaming using optimized multi-tree construction
Increasingly, commercial content providers (CPs) offer streaming and IPTV solutions that leverage an underlying peerto-peer (P2P) stream distribution architecture. The use of P2P...
Raymond Sweha, Vatche Ishakian, Azer Bestavros
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
14 years 3 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
EUROGP
2007
Springer
161views Optimization» more  EUROGP 2007»
14 years 4 months ago
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
CVPR
2001
IEEE
14 years 12 months ago
Optimal Texture Map Reconstruction from Multiple Views
The recovery of 3D models from multiple reference images involves not only the extraction of 3D shape, but also of texture. Assuming that all surfaces are Lambertian, the resultin...
Lifeng Wang, Sing Bing Kang, Richard Szeliski, Heu...