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» BDD minimization for approximate computing
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154
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ICPR
2008
IEEE
16 years 5 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
132
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MIRAGE
2007
Springer
15 years 10 months ago
A Note on the Discrete Binary Mumford-Shah Model
Abstract. This paper is concerned itself with the analysis of the twophase Mumford-Shah model also known as the active contour without edges model introduced by Chan and Vese. It c...
Jérôme Darbon
141
Voted
ESANN
2007
15 years 5 months ago
Adaptive Global Metamodeling with Neural Networks
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
Dirk Gorissen, Wouter Hendrickx, Tom Dhaene
98
Voted
ICRA
2006
IEEE
93views Robotics» more  ICRA 2006»
15 years 9 months ago
A SVM-based Method for Engine Maintenance Strategy Optimization
— Due to the abundant application background, the optimization of maintenance problem has been extensively studied in the past decades. Besides the well-known difficulty of larg...
Qing-Shan Jia, Qianchuan Zhao
160
Voted
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 6 months ago
Fast bregman divergence NMF using taylor expansion and coordinate descent
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Liangda Li, Guy Lebanon, Haesun Park