'Similarity measures' diaporamas de présentation

TOSS: An Extension of TAX with Ontologies and Similarity Queries

TOSS: An Extension of TAX with Ontologies and Similarity Queries. Edward Hung, Yu Deng, V.S. Subrahmanian Department of Computer Science University of Maryland, College Park. Outline. Introduction Ontologies and Integration Similarity Enhanced Ontology (SEO) TOSS Algebra

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Clustering

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Towards Compression-based Information Retrieval

Towards Compression-based Information Retrieval. Daniele Cerra Symbiose Seminar, Rennes, 18.11.2010. Scope. Methods. Theory. Applications. Pattern Matching. Content-based Image Retrieval. Algorithmic KL-divergence. Algorithmic Information Theory. Classification, Clustering,

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MINC meeting 2003 Registration techniques issues

MINC meeting 2003 Registration techniques issues. D. Louis Collins <louis@bic.mni.mcgill.ca>. Outline. Introduction to registration definitions motivation Stereotaxic Space Registration similarity measures transform types optimization procedures Methods Talairach, SPM, AIR, MRITOTAL

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Reductionism and Classification Require Detailed Comparison Consider 3D Comparison

Reductionism and Classification Require Detailed Comparison Consider 3D Comparison. PHAR 201/Bioinformatics I Philip E. Bourne Department of Pharmacology, UCSD Reading Chapter 16, Structural Bioinformatics.

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An Investigation into the Relationship between Semantic and Content Based Similarity Using LIDC

An Investigation into the Relationship between Semantic and Content Based Similarity Using LIDC. Grace Dasovich Robert Kim Midterm Presentation August 21 2009. Outline. Outline. Related Work Data Modeling Approach and Results Similarity Measures Artificial Neural Network

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Image Registration and Application to Image-Guided Neurosurgery Lara Vigneron

Image Registration and Application to Image-Guided Neurosurgery Lara Vigneron. Lara.Vigneron@ulg.ac.be 04 366 26 42. Image registration definition.

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Cognates and Word Alignment in Bitexts

Cognates and Word Alignment in Bitexts. Greg Kondrak University of Alberta. Outline. Background Improving LCSR Cognates vs. word alignment links Experiments & results. Motivation.

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String Similarity Measures and Joins with Synonyms

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Unsupervised Learning

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An Empirical Study of Instance-Based Ontology Mapping

An Empirical Study of Instance-Based Ontology Mapping. Antoine Isaac, Lourens van der Meij, Stefan Schlobach , Shenghui Wang STITCH@CATCH funded by NWO Vrije Universiteit Amsterdam Koninklijke Bibliotheek Den Haag Max Planck Instutute Nijmegen. Metamotivation. Ontology mapping in practise

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KLASTERISASI

KLASTERISASI. TIM PENGAJAR. CLUSTERING Basic Concepts

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Approximation of Protein Structure for Fast Similarity Measures

Approximation of Protein Structure for Fast Similarity Measures. Fabian Schwarzer Itay Lotan Stanford University. Comparing Protein Structures. Same protein:. vs. Analysis of MDS and MCS trajectories. Graph-based methods. Structure prediction applications. Evaluating decoy sets

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Indexing similarity for efficient search in multimedia databases

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Discovering Similar Multidimensional Trajectories

Discovering Similar Multidimensional Trajectories. ICDE, San Jose, CA, 2002. Outline. Introduction Similarity Measures Compute the Similarity Indexing Trajectories Experimental Evaluation Related Work Conclusion. Introduction.

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Linear-Time Computation of Similarity Measures for Sequential Data

Linear-Time Computation of Similarity Measures for Sequential Data. Presenter : Cheng-Feng Weng Authors : Konrad Rieck and Pavel Laskov 2008/09/11. ML.26 (2008). Outline. Introduction Motivation Objective Methods Experimental results Conclusion Comments. Introduction.

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A Similarity Skyline Approach for Handling Graph Queries - A Preliminary Report

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On Link Privacy in Randomizing Social Networks

On Link Privacy in Randomizing Social Networks. Xiaowei Ying, Xintao Wu Univ. of North Carolina at Charlotte PAKDD-09 April 28, Bangkok, Thailand. Motivation. Privacy Preserving Social Network Publishing node- anonymization

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WordNet::Similarity

WordNet::Similarity. Measuring the Relatedness of Concepts Yue Wang Department of Computer Science. Abstract. WordNet::Similarity is a software package that can make it possible to measure the semantic similarity and relatedness between a pair of concepts. Introduction.

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Content-Based Image Retrieval at the End of the Early Years

Content-Based Image Retrieval at the End of the Early Years. Arnold Smeulders Marcel Worring Simone Santini Amarnath Gupta Ramesh Jain Presenters Fatih Cakir Melihcan Turk. Outline. Introduction Scope Description of Content Image Processing Features Interaction

189 views • 9 slides