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Simbad Project

Similarity-based Pattern Analysis and Recognition. Information and Communication Technologies. Techniques are centered around the notion of "feature". Of the objects to be classified, and in some applications the use of dissimilarities (rather than features) makes the problem more viable. In the last few years, researchers in pattern recognition and machine learning. Learning paradigms, generative. Models, and our interest will range from purely theoretical problems to real-world practical applications.

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Simbad Project | simbad-fp7.eu Reviews
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Similarity-based Pattern Analysis and Recognition. Information and Communication Technologies. Techniques are centered around the notion of feature. Of the objects to be classified, and in some applications the use of dissimilarities (rather than features) makes the problem more viable. In the last few years, researchers in pattern recognition and machine learning. Learning paradigms, generative. Models, and our interest will range from purely theoretical problems to real-world practical applications.
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1 beyond features
2 site menu
3 partners
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5 documents
6 technical reports
7 deliverables
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9 bibliography
10 work packages
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Simbad Project | simbad-fp7.eu Reviews

https://simbad-fp7.eu

Similarity-based Pattern Analysis and Recognition. Information and Communication Technologies. Techniques are centered around the notion of "feature". Of the objects to be classified, and in some applications the use of dissimilarities (rather than features) makes the problem more viable. In the last few years, researchers in pattern recognition and machine learning. Learning paradigms, generative. Models, and our interest will range from purely theoretical problems to real-world practical applications.

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1

Simbad Project

http://www.simbad-fp7.eu/bibliography.php

Similarity-based Pattern Analysis and Recognition. Information and Communication Technologies. A Albarelli, M. Pelillo, and S. Viviani (2008). Consensus Graphs for Symmetry Plane Estimation. In SSPR’08 - Joint IAPR International Workshops on Structural, Syntactical, and Statistical Pattern Recognition, pp. 197-206, Orlando, FL. M Bicego, E. Pekalska, D.M.J. Tax, and R.P.W. Duin, Component-based Discriminative Classification for Hidden Markov Models, Pattern Recognition, 2009. J Duarte, A. Fred, F&#46...

2

Simbad Project

http://www.simbad-fp7.eu/deliverables.php

Similarity-based Pattern Analysis and Recognition. Information and Communication Technologies. Learning Similarities from Examples. Datasets and tools for dissimilarity analysis in pattern recognition.pdf. Foundations of (non-)geometric similarities. Spectral and Geometric Embeddings. Graph regularizations for Geometric Manifold Embeddings. Equilibrium concepts for pattern recognition. Generalizations of game-theoretic notions.

3

Simbad Project

http://www.simbad-fp7.eu/deadlines.php

Similarity-based Pattern Analysis and Recognition. Information and Communication Technologies. Starting date: 01/04/2008 - End of the project: 31/03/2011.

4

Simbad Project

http://www.simbad-fp7.eu/documents.php

Similarity-based Pattern Analysis and Recognition. Information and Communication Technologies. Guidance Notes on Project Reporting. Link: ftp:/ ftp.cordis.europa.eu/pub/fp7/docs/project reporting en.pdf. Guide to Financial Issues relating to FP7 Indirect Actions. Link: ftp:/ ftp.cordis.europa.eu/pub/fp7/docs/financialguide en.pdf. Use of Resourses - financial reporting table. Link: SIMBAD Resources Use.xls. Link: Simbad Leaflet.pdf. Link: 09 02 04 DESCA SIMBAD definitive.pdf.

5

Simbad Project

http://www.simbad-fp7.eu/workpackages.php

Similarity-based Pattern Analysis and Recognition. Information and Communication Technologies. LIST OF WORK PACKAGES (WP). Deriving similarities for non-vectorial data (structural kernels). Foundations of non-(geo)metric similarities. Imposing geometricity on non-geometric similarities (embedding). Learning with non-(geo)metric similarities. Analysis of tissue micro-array (TMA) images of renal cell carcinoma. Analysis of brain magnetic resonance (MR) scans for the diagnosis of mental illness.

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ibpria2011.ulpgc.es ibpria2011.ulpgc.es

IbPRIA 2011 » Invited Speakers

http://www.ibpria2011.ulpgc.es/speakers

Iberian Conference on Pattern Recognition and Image Analysis. The Role of Intermediate Shape Priors in Perceptual Grouping and Image Abstraction. Department of Computer Science. Spatio-Temporal Video Analysis and Visual Activity Recognition. Georgia Tech / School of Interactive Computing. Robotics and Machine Intelligence / GVU Centers. Time permitting, I will show some more videos of our recent work on video analysis and synthesis. For more information, papers, and videos, see my website. He joined Geor...

dsi.unive.it dsi.unive.it

3rd International Workshop on Similarity-Based Pattern Analysis and Recognition

http://www.dsi.unive.it/~simbad

Paper and abstract submission. Free online access, volume LNCS 9370, SIMBAD 2015. Original, unpublished papers dealing with these issues are solicited. Topics of interest include (but are of course not limited to):. Graph spectra and spectral geometry. Indefinite and structural kernels. Game-theoretic models of pattern recognition. Characterization of non-(geo)metric behaviour. Measures of (geo)metric violations. Learning and combining similarities. All papers (not exceeding 16 pages) must be submitted e...

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Simbad Project

Similarity-based Pattern Analysis and Recognition. Information and Communication Technologies. Techniques are centered around the notion of "feature". Of the objects to be classified, and in some applications the use of dissimilarities (rather than features) makes the problem more viable. In the last few years, researchers in pattern recognition and machine learning. Learning paradigms, generative. Models, and our interest will range from purely theoretical problems to real-world practical applications.

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