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ESANN
2006
14 years 11 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
CJ
2008
97views more  CJ 2008»
14 years 9 months ago
Three Kinds of Probabilistic Induction: Universal Distributions and Convergence Theorems
We will describe three kinds of probabilistic induction problems, and give general solutions for each , with associated convergence theorems that show they tend to give good proba...
Ray J. Solomonoff
SIAMJO
2008
136views more  SIAMJO 2008»
14 years 9 months ago
Relaxed Alternating Projection Methods
Let A and B be nonempty, convex and closed subsets of a Hilbert space H. In the practical considerations we need to find an element of the intersection A B or, more general, to s...
Andrzej Cegielski, Agnieszka Suchocka
APCCM
2007
14 years 11 months ago
Measuring Similarity between Semantic Business Process Models
A business process may be modeled in different ways by different modelers even when utilizing the same modeling language. An appropriate method for solving ambiguity issues in p...
Marc Ehrig, Agnes Koschmider, Andreas Oberweis
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STACS
2005
Springer
15 years 3 months ago
Sampling Sub-problems of Heterogeneous Max-cut Problems and Approximation Algorithms
Abstract Abstract. Recent work in the analysis of randomized approximation algorithms for NP-hard optimization problems has involved approximating the solution to a problem by the ...
Petros Drineas, Ravi Kannan, Michael W. Mahoney