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» Shapes as empirical distributions
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CN
2002
78views more  CN 2002»
14 years 9 months ago
A stochastic model for the evolution of the Web
Recently several authors have proposed stochastic models of the growth of the Web graph that give rise to power-law distributions. These models are based on the notion of preferen...
Mark Levene, Trevor I. Fenner, George Loizou, Rich...
JMLR
2010
135views more  JMLR 2010»
14 years 4 months ago
Finite-sample Analysis of Bellman Residual Minimization
We consider the Bellman residual minimization approach for solving discounted Markov decision problems, where we assume that a generative model of the dynamics and rewards is avai...
Odalric-Ambrym Maillard, Rémi Munos, Alessa...
ICPR
2010
IEEE
15 years 5 months ago
Fast and Accurate Approximation of the Euclidean Opening Function in Arbitrary Dimension
In this paper, we present a fast and accurate approximation of the Euclidean opening function which is a wide-used tool in morphological mathematics to analyze binary shapes since...
David Coeurjolly
NN
2002
Springer
161views Neural Networks» more  NN 2002»
14 years 9 months ago
AANN: an alternative to GMM for pattern recognition
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
B. Yegnanarayana, S. P. Kishore
MA
2011
Springer
230views Communications» more  MA 2011»
14 years 4 months ago
Weighted-mean trimming of multivariate data
A general notion of trimmed regions for empirical distributions in d-space is introduced. The regions are called weighted-mean trimmed regions. They are continuous in the data as ...
Rainer Dyckerhoff, Karl Mosler