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ECCV
2008
Springer
14 years 7 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
CEC
2010
IEEE
13 years 3 months ago
Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
JMLR
2012
11 years 7 months ago
Globally Optimizing Graph Partitioning Problems Using Message Passing
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
Elad Mezuman, Yair Weiss
BROADNETS
2007
IEEE
13 years 11 months ago
Optimizing dimensionality and accelerating landmark positioning for coordinates based RTT predictions
Abstract— In this paper we analyze the positioning of landmarks in coordinates-based Internet distance prediction approaches with focus on Global Network Positioning (GNP). We sh...
Dragan Milic, Torsten Braun
ICCAD
2006
IEEE
106views Hardware» more  ICCAD 2006»
14 years 2 months ago
Wire density driven global routing for CMP variation and timing
In this paper, we propose the first wire density driven global routing that considers CMP variation and timing. To enable CMP awareness during global routing, we propose a compac...
Minsik Cho, David Z. Pan, Hua Xiang, Ruchir Puri