'Dimension reduction' presentation slideshows

Future Directions in Computer Science

Future Directions in Computer Science. John Hopcroft Cornell University Ithaca, New York. Time of change. There is a fundamental revolution taking place that is changing all aspects of our lives.

1.33k views • 72 slides

INTERACTION TECHNIQUES

INTERACTION TECHNIQUES. Collision Detection and Other Interactions. Overview. Why is collision detection important? Types of Collision Detection. Approaches to Collision Detection and Response. Static Object Collision Detection and Response. Overview.

818 views • 55 slides

Text Mining

Text Mining. Huaizhong KOU PHD Student of Georges Gardarin PRiSM Laboratory. 1. Introduction What happens What is Text Mining Text Mining vs Data Mining Applications 2. Feature Extraction Task Indexing Dimensionality Reduction 3. Document Categorization Task Architecture

919 views • 53 slides

Distance Metric Learning: A Comprehensive Survey

Distance Metric Learning: A Comprehensive Survey. Liu Yang Advisor: Rong Jin May 8th, 2006. Outline. Introduction Supervised Global Distance Metric Learning Supervised Local Distance Metric Learning Unsupervised Distance Metric Learning Distance Metric Learning based on SVM

1.54k views • 51 slides

Dimension Reduction in Workers Compensation

Dimension Reduction in Workers Compensation. CAS predictive Modeling Seminar Louise Francis, FCAS, MAAA Francis Analytics and Actuarial Data Mining, Inc. Louise_francis@msn.com www,data-mines.com. Objectives. Answer questions: What is dimension reduction and why use it?

535 views • 44 slides

Functional Link Network

Functional Link Network. Support Vector Machines. Support Vector Machines. support vectors. separator . margin. Support Vector Machines. Support Vector Machines. Support Vector Machines. Support Vector Machines. Support Vector Machines. Support Vector Machines. Support Vector Machines.

730 views • 43 slides

Distance-Based Indexing: Applications in Bioinformatics & the Pivot Space Model

Distance-Based Indexing: Applications in Bioinformatics & the Pivot Space Model. Rui Mao National High Performance Computing Center at Shenzhen College of Computer Science and Software Engineering Shenzhen University, China 02/16/2011. Outline. Similarity query and biological applications

620 views • 34 slides

Introduction --- Part2

470 views • 28 slides

Big Data Why it matters

361 views • 25 slides

NSF Opportunities Relevant to the Multi-Disciplinary Worlds of Security and Intelligence

NSF Opportunities Relevant to the Multi-Disciplinary Worlds of Security and Intelligence. Thomas F. Russell NSF Office of Integrative Activities Oak Ridge Associated Universities Council of Sponsoring Institutions Annual Meeting Oak Ridge, TN March 9, 2011. NSF Statutory Mission.

361 views • 24 slides

401 views • 21 slides

Manifold Learning Using Geodesic Entropic Graphs

Manifold Learning Using Geodesic Entropic Graphs. Research supported in part by: ARO-DARPA MURI DAAD19-02-1-0262. Alfred O. Hero and Jose Costa Dept. EECS, Dept Biomed. Eng., Dept. Statistics University of Michigan - Ann Arbor hero@eecs.umich.edu http://www.eecs.umich.edu/~hero.

451 views • 20 slides

Manifold Learning Using Geodesic Entropic Graphs

Manifold Learning Using Geodesic Entropic Graphs. Research supported in part by: ARO-DARPA MURI DAAD19-02-1-0262. Alfred O. Hero and Jose Costa Dept. EECS, Dept Biomed. Eng., Dept. Statistics University of Michigan - Ann Arbor hero@eecs.umich.edu http://www.eecs.umich.edu/~hero.

514 views • 20 slides

A bit of everything: dim-reduction, sketching, nearest neighbor search, and fruit flies

A bit of everything: dim-reduction, sketching, nearest neighbor search, and fruit flies. Alex Andoni. Computational problem: Similarity search. 000000 011100 010100 000100 010100 011111. 000000 001100 000100 000100 110100 111111. objects high-dimensional vectors.

325 views • 19 slides

Lecture 8: Dimension Reduction

Lecture 8: Dimension Reduction. Plan. Pick up PS1 at the end of the class PS2 out Dimension Reduction Fast Dimension Reduction Scriber?. High-dimensional case. E xact algorithms degrade rapidly with the dimension. Dimension Reduction. R educe high dimension?!

425 views • 18 slides

Visual Analytics Research at WPI

Visual Analytics Research at WPI. Dr. Matthew Ward and Dr. Elke Rundensteiner Computer Science Department. What is Visual Analytics?.

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Data Analytics and its Curricula

Data Analytics and its Curricula. Geoffrey Fox gcf@indiana.edu Informatics, Computing and Physics Indiana University Bloomington. DELSA Workshop October 9 2012 Chicago. Project 3: Training Data Scientists. Lead : Geoffrey Fox (Indiana University, Bloomington, Indiana)

274 views • 15 slides

Partial Least Squares

Partial Least Squares. Very brief intro. Multivariate regression. The multiple regression approach creates a linear combination of the predictors that best correlates with the outcome

3.48k views • 10 slides

Introduction

99 views • 1 slides

Big Data Kirk Borne George Mason University LSST All Hands Meeting August 13 - 17, 2012

428 views • 0 slides