'Distance functions' presentation slideshows

Towards optimal distance functions for stochastic substitution models

Towards optimal distance functions for stochastic substitution models. Ilan Gronau, Shlomo Moran, Irad Yavneh Technion, Israel. Preview The Phylogenetic Reconstrutction Problem. Evolution is modeled by a Tree. ACGGTCA. (All our sequences are DNA sequences, consisting of {A,G,C,T}).

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MindReader: Querying databases through multiple examples

MindReader: Querying databases through multiple examples. Yoshiharu Ishikawa (Nara Institute of Science and Technology, Japan) Ravishankar Subramanya (Pittsburgh Supercomputing Center) Christos Faloutsos (Carnegie Mellon University). Outline. Background & Introduction Query by Example

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Effective Indexing and Filtering for Similarity Search in Large Biosequence Databases

Effective Indexing and Filtering for Similarity Search in Large Biosequence Databases. O. Ozturk and H. Ferhatosmanoglu. IEEE International Symp. on Bioinformatics and Bioengineering (BIBE '03) , pp. 359-366. Washington, DC. March 2003. Overview. Applications of queries Background on queries

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Images Similarity by Relative Dynamic Programming

Images Similarity by Relative Dynamic Programming. M. Sc. thesis by Ady Ecker Supervisor: prof. Shimon Ullman. Overview. The similarity problem The Method: Overlapping patches Combining evidences Relative dynamic programming Analysis. Part 1: The Problem. Old problem. Important.

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Supervised Distance Metric Learning

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Metafrontier Framework for the Study of Firm-Level Efficiencies and Technology Gaps

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Using Efficiency Analysis to Measure Individual Well-Being with an illustration for Catalonia

Using Efficiency Analysis to Measure Individual Well-Being with an illustration for Catalonia Xavi Ramos UAB & IZA. Outline. Explain how distance functions can be adapted to measure multidimensional well-being, and thus poverty (Lovell et al . 1994)

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Cartographic modelling

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Efficiency and Productivity Measurement Measuring Productivity Growth Using different methods

Efficiency and Productivity Measurement Measuring Productivity Growth Using different methods. D.S. Prasada Rao School of Economics, University of Queensland. Australia. Measuring Productivity Growth.

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Efficiency and Productivity Measurement Measuring Productivity Growth Using different methods

Efficiency and Productivity Measurement Measuring Productivity Growth Using different methods. D.S. Prasada Rao School of Economics, University of Queensland. Australia. Measuring Productivity Growth.

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Learning Instance Specific Distance Using Metric Propagation

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Heterogeneous adaptive systems

Heterogeneous adaptive systems. W ? odzis ? aw Duch & Krzysztof Gr ? bczewski Department of Informatics, Nicholas Copernicus University, Torun, Poland. http://www.is.umk.pl. Why is this important?. MLPs are universal approximators, best choice?

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PROBABILISTIC DISTANCE MEASURES FOR PROTOTYPE-BASED RULES

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Fuzzy rule-based system derive d from similarity to prototypes

Fuzzy rule-based system derive d from similarity to prototypes. Plan. What is it all about? Fuzzy rule systems and prototype rule based systems. From prototype rules to fuzzy rules and vice versa, with examples. Results of applications on real datasets. Conclusions. Motivation.

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Implementing Local Search with Apache Solr and Lucene

Implementing Local Search with Apache Solr and Lucene. Grant Ingersoll. Topics. Use Cases Concepts of Local Search Local Search support in Apache Solr Indexing Filtering Searching Faceting Sorting Demo. Use Cases. Asset Management Social Networking Find all friends near me

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A Comparison of String Matching Distance Metrics for Name-Matching Tasks

A Comparison of String Matching Distance Metrics for Name-Matching Tasks. William Cohen, Pradeep RaviKumar, Stephen Fienberg. Motivating Example. List of people and some attributes compiled by one source Updates by another source need to be merged Need to locate matching records

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Hackathon

Hackathon. Patrick Cozzi University of Pennsylvania CIS 565 - Fall 2013. Hackathon. 6pm-midnight. 11/16. SIG lab. Code something visually-stunning in six hours. Teams. Teams of two Code comment at the top of your shader Names of each member and links to your githubs

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