'Information theory' presentation slideshows

Information Theoretic Learning

Information Theoretic Learning. Jose C. Principe Yiwen Wang Computational NeuroEngineering Laboratory Electrical and Computer Engineering Department University of Florida www.cnel.ufl.edu principe@cnel.ufl.edu. Acknowledgments. Dr. Deniz Erdogmus My students: Puskal Pokharel

1.59k views • 116 slides

INFO 624 -- Week 5 Text Properties and Operations

INFO 624 -- Week 5 Text Properties and Operations. Dr. Xia Lin Assistant Professor College of Information Science and Technology Drexel University. Objectives of Assignment 1. Practice basic Web skills Get familiar with a few search engines Learn to describe features of search engines

622 views • 50 slides

Perspectives on Complexity Report on a National Science Foundation Initiative

Perspectives on Complexity Report on a National Science Foundation Initiative. William B. Rouse. Overview. Complexity & Complex Systems Definitions Characteristics Views Studies of Complexity Fault Diagnosis Large-Scale Systems Disease Control Workshop on Complex Systems Motivation

564 views • 45 slides

Tutorial on Information Theory

Tutorial on Information Theory. Network/Link Design Factors. Bandwidth Higher bandwidth gives higher data rate Transmission impairments Attenuation Interference Number of receivers In guided media More receivers (multi-point) introduce more attenuation. Channel Capacity. Data rate

530 views • 40 slides

Basic Concepts of Discrete Probability

668 views • 36 slides

Low-Power Statistical Computing with Analog Logic

Low-Power Statistical Computing with Analog Logic . Ben Vigoda. Advanced Technology Office (ATO) (BAA 04-09). Energy. Ubiquitous Networked Computation. The Problem. Our Solution: Analog Logic. Combine Efficiency of Analog Device Physics >10x Less Power 10x Less Area / Cost

527 views • 34 slides

Inferring Models of cis -Regulatory Modules using Information Theory

Inferring Models of cis -Regulatory Modules using Information Theory. BMI/CS 776 www.biostat.wisc.edu/bmi776/ Spring 2018 Anthony Gitter gitter@biostat.wisc.edu. These slides, excluding third-party material, are licensed under CC BY-NC 4.0 by Mark Craven, Colin Dewey, and Anthony Gitter.

432 views • 29 slides

Data Compression Basics

Data Compression Basics. Main motivation: The reduction of data storage and transmission bandwidth requirements.

663 views • 28 slides

Information Theory

706 views • 26 slides

IEEE Region 8 Section Assessment Benelux Section

IEEE Region 8 Section Assessment Benelux Section. 23 April 2004 Krakow, Poland. Section Team. Jan Biemond (Chair) TU Delft; NL Cor Claeys (Past Chair) KU Leuven, IMEC; B Martin Bastiaans (Officer) TU Eindhoven; NL. Overview presentation. Background to the Section Finances

407 views • 25 slides

Information Theory and Security

Information Theory and Security. Lecture Motivation. Up to this point we have seen: Classical Crypto Symmetric Crypto Asymmetric Crypto

884 views • 24 slides

Digital Media & Data Representation

Digital Media & Data Representation. Why Digital Media Requirements Matter. Storage Management and Planning How much must be stored? How to store it efficiently? Compression Approaches Lossy vs. Lossless Formats Transmission Management and Planning

578 views • 23 slides

Shriram Sarvotham Dror Baron Richard Baraniuk

Measurements and Bits: Compressed Sensing meets Information Theory. Shriram Sarvotham Dror Baron Richard Baraniuk. ECE Department Rice University dsp.rice.edu/cs. CS encoding. Replace samples by more general encoder based on a few linear projections (inner products)

497 views • 23 slides

Introducing ChairPerson tm

401 views • 23 slides

A Rant About Thinking: Beware of Numerism and Quantasms

A Rant About Thinking: Beware of Numerism and Quantasms. Numerism: blind faith in numbers. Quantasm: the lapse of judgment induced in a numerist by the sight of numbers. Why we must be careful with numbers:. Expected Value: probability (0<=p<=1) * value (- ?<v<?)

400 views • 21 slides

IEEE/IEE Electronic Library

506 views • 20 slides

Texture with Moments

Texture with Moments. Longin Jan Latecki CIS Dept. Temple Univ., Philadelphia latecki@temple.edu with some slides from David Kriegman , UCSD . Texture examples. Wheat. Alfalfa. Alfalfa. Forest. Forest. Corn. Corn. Wheat. Alfalfa. Alfalfa. Corn. Wheat. Soybean. Corn. Corn.

339 views • 20 slides

A Bit of Information Theory

309 views • 18 slides

Diagrams of Communication

627 views • 11 slides

Summary-Abstracts of Theories

183 views • 6 slides