'Distance function' presentation slideshows

V. Megalooikonomou Generic Multimedia Indexing (some slides are based on notes by C. Faloutsos)

691 views • 57 slides

Analyzing User Interactions for Data and User Modeling

728 views • 51 slides

Functional genomics and gene expression data analysis

537 views • 43 slides

Effects of Rooting on Phylogenic Algorithms

Effects of Rooting on Phylogenic Algorithms. Margareta Ackerman Joint work with David Loker and Dan Brown. Hierarchical Clustering & Phylogency. Phylogeny meets Hierarchical Clustering. Ph ylogeny is an application of Hierarchical Clustering. They are closely related!.

731 views • 42 slides

548 views • 42 slides

User-Centric Visual Analytics

505 views • 40 slides

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

513 views • 39 slides

Beacon Vector Routing: Scalable Point-to-Point Routing in Wireless Sensornets

Beacon Vector Routing: Scalable Point-to-Point Routing in Wireless Sensornets. R. Fonseca, Berkeley; S. Ratnasamy, Intel Research; J. Zhao, ICI; C. T. Ee, D. Culler, S. Shenker, and I. Stoica, Berkeley NSDI 2005. The BVR Algorithm. Algorithm in three distinct parts: Greedy forwarding

498 views • 38 slides

Solr 3.1 and Beyond

Solr 3.1 and Beyond. Yonik Seeley Lucid Imagination yonik@lucidimagination.com October 8, 2010. Agenda. Goal : Introduce new features you can try & use now in Solr development versions 3.1 or 4.0 Relevancy (Extended Dismax Parser) Spatial/Geo Search

428 views • 33 slides

Fruitful functions

Fruitful functions. Return values. The built-in functions we have used, such as abs, pow , int , max, and range, have produced results. Calling each of these function generates a value, which usually assign to a variable or use as part of an expression. Return values.

612 views • 30 slides

4D Numerical Schemes for Cell Image Segmentation and Tracking

478 views • 30 slides

Using Clustering to Learn Distance Functions for Supervised Similarity Assessment

Using Clustering to Learn Distance Functions for Supervised Similarity Assessment. Christoph F. Eick, A. Rouhana, A. Bagherjeiran, R. Vilalta Department of Computer Science University of Houston Organization of the Talk Similarity Assessment A Framework for Distance Function Learning

437 views • 30 slides

FILTERING WITH ALIGNMENT FREE DISTANCES FOR HIGH THROUGHPUT DNA READS ASSEMBLY

FILTERING WITH ALIGNMENT FREE DISTANCES FOR HIGH THROUGHPUT DNA READS ASSEMBLY Maria de Cola, Giovanni Felici , Daniele Santoni , Emanuel Weitschek Istituto di Analisi dei Sistemi ed Informatica Consiglio Nazionale delle Ricerche Roma. Background

326 views • 21 slides

Stochastic Frontier Models

William Greene Stern School of Business New York University. Stochastic Frontier Models. 0 Introduction 1 Efficiency Measurement 2 Frontier Functions 3 Stochastic Frontiers 4 Production and Cost 5 Heterogeneity 6 Model Extensions 7 Panel Data 8 Applications.

417 views • 18 slides

Activity 2-11: Could p be 3?

285 views • 18 slides

Average Velocity and Instantaneous Velocity

Average Velocity and Instantaneous Velocity. Trip from CC-San Antonio. In a six- hour trip you traveled 300 miles. What was the average velocity for the whole trip ?. What was the average velocity between the second and fourth hour? .

439 views • 17 slides

382 views • 16 slides

D4 - Antiderivatives

D4 - Antiderivatives. IB Math HL/SL. (A) Review. To date, what we have presented are differentiation techniques (power rule, sum/diff rule, product rule, quotient rule, chain rule)

486 views • 14 slides

Efficiency and Productivity Measurement: Multi-output Distance and Cost functions

Efficiency and Productivity Measurement: Multi-output Distance and Cost functions. D.S. Prasada Rao School of Economics The University of Queensland Australia. Duality and Cost Functions.

322 views • 11 slides

AUTOMATIC TOOTH SEGMENTATION USING ACTIVE CONTOUR WITHOUT EDGES

ADIS Architecture. Contour Extraction. The image is assumed to be made of two regions, viz., the foreground and background of approximately piecewise constant distinct intensities say I 0 0 and I 0 1 , respectively.

179 views • 1 slides