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» Approximate algorithms for neural-Bayesian approaches
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CVPR
2011
IEEE
14 years 6 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
ITC
2003
IEEE
153views Hardware» more  ITC 2003»
15 years 3 months ago
An Efficient and Effective Methodology on the Multiple Fault Diagnosis
In this paper, we analyze failing circuits and propose a multiple-fault diagnosis approach. Our methodology has been validated experimentally and has proved to be highly efficient...
Zhiyuan Wang, Kun-Han Tsai, Malgorzata Marek-Sadow...
SEAL
2010
Springer
14 years 7 months ago
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
ISVC
2009
Springer
15 years 2 months ago
Layered Volume Splatting
We present a new layered, hardware-accelerated splatting algorithm for volume rendering. Layered volume splatting features the speed benefits of fast axis-aligned pre-classified ...
Philipp Schlegel, Renato Pajarola
ESA
2008
Springer
195views Algorithms» more  ESA 2008»
14 years 11 months ago
A Characterization of 2-Player Mechanisms for Scheduling
We study the mechanism design problem of scheduling unrelated machines and we completely characterize the decisive truthful mechanisms for two players when the domain contains bot...
George Christodoulou, Elias Koutsoupias, Angelina ...