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» Boosting Methods for Regression
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CVPR
2004
IEEE
15 years 3 months ago
Efficient Graphical Models for Processing Images
Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphi...
Marshall F. Tappen, Bryan C. Russell, William T. F...
ECCV
2006
Springer
15 years 3 months ago
Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets
Abstract. We present a new algorithm for segmenting a scene consisting of multiple moving dynamic textures. We model the spatial statistics of a dynamic texture with a set of secon...
Atiyeh Ghoreyshi, René Vidal
GECCO
2006
Springer
182views Optimization» more  GECCO 2006»
15 years 3 months ago
Distributed genetic algorithm for energy-efficient resource management in sensor networks
In this work we consider energy-efficient resource management in an environment monitoring and hazard detection sensor network. Our goal is to allocate different detection methods...
Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzh...
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 2 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
AAAI
2008
15 years 1 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang