Information theory based inference in the Bayesian context
German Aerospace Centre (DLR) and GET, Telecom Paris. D-82234 Oberfaffenhaffen ... information theory. The goal of the tutorial is to overview new applica-.
Information theory based inference in the Bayesian context: applications for semantic image coding Mihai Datcu German Aerospace Centre (DLR) and GET, Telecom Paris D-82234 Oberfaffenhaffen Abstract Traditionally Information Theory focused to applications in communications, it refers mainly to coding, transmission, or compression of signals. However, implicitly, from its very beginning, information theory closely related to statistics and machine learning. Thus, many other fields like stochastic inference, estimation and decision theory, optimisation, communication or knowledge representation benefit from basic results from information theory. The goal of the tutorial is to overview new applications and new developments in information theory relevant to inference, as well as general methods for information processing and understanding. The topics envisaged are: applications and extensions of Rate-Distortion theory, the methods of Information Bottleneck, The links to Bayesian, MDL and related methods, information and/or complexity based estimation, and inference. The lecture will focus on specific methods for: image understanding, image semantic coding, image indexing and information mining. Proposing methods to distinguish, signs and symbols and understand significance. The possible applications are search engines in large satellite image archives, picture archiving and communication systems (PACS) for use in medical science, or multimedia systems.
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Oct 6, 2003 - built-in knowledge of the scene and how retinal images are formed and uses this ...... imagine that you emerge from your house in the morning and notice that the grass is wet. ..... Geisler WS, Perry JS, Super BJ, Gallogly DP.
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Oct 6, 2003 - Departments of Statistics and Psychology, University of California, Los .... Understanding how the brain translates retinal image intensities to ...
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and data fusion problems and present new methods we developed recently ..... The final point before obtaining an expression for the posterior probability law.
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used, regression analysis is based on an ad hoc model that may not reflect the ...... be applied on real data, but it allows us to compare the proposed method to ...
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Vision Sciences Laboratory, Harvard University, Cambridge, MA 02138, USA; ..... the set of chords to a circle leads to different answers to this question, and there is ... and the perception of illusory contours'', in Proceedings of the 14th ... Jayn
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the relationships between different classification formalisms based on ... SVM formalism is, based on the training set, to trace two surfaces that best ..... The work was performed within The CNES/DLR/ENST Competence Centre on Infor-.
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A Multislice CT Scanner ... Radio astronomy (interferometry imaging systems). The Very ..... A coherent approach to combine information content of the data and ...
Feb 23, 2012 - ... inference methods for sources separation. Ali Mohammad-Djafari. Laboratoire des Signaux et Syst`emes,. UMR8506 CNRS-SUPELEC-UNIV ...
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