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CCR
2008
85views more  CCR 2008»
13 years 6 months ago
On cycles in AS relationships
y be more complex than the course modeling abstraction we adopted in [2]. Real AS relationships may depend on a peering point, prefix, and even time [2]. For example, ISPs that dom...
Xenofontas A. Dimitropoulos, M. Ángeles Ser...
PRL
2007
180views more  PRL 2007»
13 years 6 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...
CEC
2011
IEEE
12 years 6 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
ICCV
2009
IEEE
14 years 11 months ago
Level Set Segmentation with Both Shape and Intensity Priors
We present a new variational level-set-based segmentation formulation that uses both shape and intensity prior information learned from a training set. By applying Bayes’ rule...
Siqi Chen and Richard J. Radke
ICIP
2004
IEEE
14 years 8 months ago
Statistical transformations of frontal models for non-frontal face verification
In the framework of a face verification system using local features and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when on...
Conrad Sanderson, Samy Bengio