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TSP
2010
14 years 9 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
15 years 3 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
MICCAI
2007
Springer
15 years 8 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
ICNP
2005
IEEE
15 years 7 months ago
Shape Shifting Tries for Faster IP Route Lookup
Some of the fastest practical algorithms for IP route lookup are based on space-efficient encodings of multi-bit tries [1, 2]. Unfortunately, the time required by these algorithm...
Haoyu Song, Jonathan S. Turner, John W. Lockwood
TIP
2011
123views more  TIP 2011»
14 years 9 months ago
Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference
We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference...
Gang Hua, Onur G. Guleryuz