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» Probabilistic Expression Analysis on Manifolds
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ICDAR
2009
IEEE
14 years 2 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
CIARP
2011
Springer
12 years 7 months ago
Sentiment-Preserving Reduction for Social Media Analysis
Abstract. In this paper, we address the problem of opinion analysis using a probabilistic approach to the underlying structure of different types of opinions or sentiments around ...
Sergio Hernández, Philip Sallis
BMCBI
2006
147views more  BMCBI 2006»
13 years 7 months ago
A hidden Markov model approach for determining expression from genomic tiling micro arrays
Background: Genomic tiling micro arrays have great potential for identifying previously undiscovered coding as well as non-coding transcription. To-date, however, analyses of thes...
Kasper Munch, Paul P. Gardner, Peter Arctander, An...
TSE
2010
120views more  TSE 2010»
13 years 6 months ago
Time and Probability-Based Information Flow Analysis
Abstract—In multilevel systems it is important to avoid unwanted indirect information flow from higher levels to lower levels, namely the so called covert channels. Initial stud...
Ruggero Lanotte, Andrea Maggiolo-Schettini, Angelo...
IASTEDCCS
2004
100views Hardware» more  IASTEDCCS 2004»
13 years 9 months ago
On the analysis of digital circuits with uncertain inputs
Unlike the classical deterministic digital circuit analysis, we consider the analysis of uncertain digital circuits defined as follows. Given a binary function of n uncertain inpu...
Houssain Kettani