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» Algorithms for Large Scale Markov Blanket Discovery
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ICASSP
2008
IEEE
14 years 1 months ago
Image inpainting with a wavelet domain Hidden Markov tree model
We present a novel technique for image inpainting, the problem of filling-in missing image parts. Image inpainting is ill-posed and we adopt a probabilistic model-based approach ...
George Papandreou, Petros Maragos, Anil Kokaram
PAKDD
2010
ACM
173views Data Mining» more  PAKDD 2010»
13 years 5 months ago
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
Panagis Magdalinos, Michalis Vazirgiannis, Dialect...
DEXAW
2005
IEEE
121views Database» more  DEXAW 2005»
14 years 1 months ago
Resource Discovery in a Dynamic Grid Environment
Resource discovery in a Grid environment is a critical problem, as a typical Grid system includes a very large number of resources, which must be readily identified and accessed ...
Moreno Marzolla, Matteo Mordacchini, Salvatore Orl...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 7 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 4 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li