'Automatic classification' diaporamas de présentation

GALEN-IN-USE and The GALEN Organisation Progress in 1998

GALEN-IN-USE and The GALEN Organisation Progress in 1998. A.L. Rector, J. Rogers, The GALEN Organisation Limited www.cs.man.ac.uk/mig/galen www.galen-organisation.com galen@cs.man.ac.uk. GALEN-IN-USE Partners. University of Manchester, Reuters Health, UK University of Nijmegen, Holland

625 views • 45 slides

Multiscale Modelling

605 views • 41 slides

Librarians vs. Automation

Librarians vs. Automation. Carolyn Weber Lucio Campanelli Will Hohyon Ryu. What Librarians Do. Public Services Librarian Technical Service Librarian Acquisitions/Serials Librarian Cataloging Librarian. What Computers can Do. Public Services Librarian People use computers to find books.

334 views • 33 slides

Semantic Web Overview

Semantic Web Overview. Diane Vizine-Goetz OCLC Research. Outline. Semantic Web vision Core technologies OCLC Web services. The Vision.

428 views • 29 slides

HLT Industry in the Netherlands

HLT Industry in the Netherlands. Piek Vossen Faculteit der Letteren, Vrije Universiteit Amsterdam Irion Technologies, Delft Workshop HLT Collaboration SA & Low Countries 24-26 November 2008, Cape Town. Overview of HLT-NL. NLT Text (33).

326 views • 22 slides

Discovery of (new) phenotypes by dynamical modeling of live HeLa cell microscopy data

Discovery of (new) phenotypes by dynamical modeling of live HeLa cell microscopy data. Gregoire Pau, Wolfgang Huber, EMBL-EBI Cambridge gregoire.pau@ebi.ac.uk. Experimental setup. Live cell time-lapse imaging Genome wide assay HeLa cell line expressing H2B GFP

321 views • 22 slides

Dynamic time warping for automatic classification of killer whale vocalizations

Dynamic time warping for automatic classification of killer whale vocalizations. Judy Brown Patrick Miller. Physics Dept, Wellesley College Media-Lab MIT Sea Mammal Research Unit, University of St. Andrews. the Plan :.

207 views • 20 slides

imaginlabs

COSI- Corr Automatic Imperviousness Classification Study Cases. Sebastien Leprince Francois Ayoub Jiao Lin Jean-Philippe Avouac leprincs @ caltech.edu Office: 626-395-2912 Cell: 626-240-9041 California Institute of Technology. Patent U.S. 8,121,433 B2

304 views • 18 slides

Musical Genre Categorization Using Support Vector Machines

Musical Genre Categorization Using Support Vector Machines. Shu Wang. Outline. Motivation Dataset Feature Extraction Automatic Classification Conclusion. Motivation. Music Information Retrieval. Music Genres. http://www.flickr.com/photos/elbewerk/2845839180/lightbox/. Dataset.

313 views • 17 slides

Automatic cataloging & classification

Automatic cataloging & classification. Eric Childress OCLC Research. OCLC Members Council Research and New Technologies Interest Group 25 October 2005. The key question. Can machines be leveraged for? Baseline metadata Critical data present Accurate tagging Accurate values

283 views • 17 slides

Automatic cataloging & classification

Automatic cataloging & classification. Eric Childress OCLC Research. OCLC Members Council Research and New Technologies Interest Group 25 October 2005. The key question. Can machines be leveraged for? Baseline metadata Critical data present Accurate tagging Accurate values

178 views • 17 slides

Migrate from Paper to Electronic Health Records Margot Weigl Director Vertical Marketing

Migrate from Paper to Electronic Health Records Margot Weigl Director Vertical Marketing . Kofax. Successful for more than 20 years Helping customers to optimize/automate their mission critical, document driven business processes.

310 views • 15 slides

Medical Information Retrieval: eEvidence System

Medical Information Retrieval: eEvidence System. By Zhao Jin Mar-12-2010. Domain-specific Information Retrieval. Research What are the characteristics of the users, the documents and the search process in a specific domain? What changes should be made in a IR system? Domains Math

424 views • 14 slides

John Johnson

278 views • 12 slides

DESIRE 2

198 views • 10 slides