'Toy example' diaporamas de présentation

1.36k views • 96 slides

Selective Term-Level Abstraction with Type-Inference

Selective Term-Level Abstraction with Type-Inference. Bryan Brady Advisor: Sanjit Seshia In collaboration with: Randy Bryant, Daniel Kroening, Joel Ouaknine, Ofer Strichman. Processor Verification. How to verify? Two options: Simulation Formal Verification.

658 views • 57 slides

Towards an Evolvable Internet Architecture

607 views • 46 slides

? 2 and Goodness of Fit

? 2 and Goodness of Fit. Louis Lyons Oxford. SLUO Lecture 3, February 2007. Least squares best fit Resume of straight line Correlated errors Errors in x and in y Goodness of fit with ? 2 Errors of first and second kind Kinematic fitting

584 views • 36 slides

Raghu Meka (IAS)

Better Pseudorandom Generators from Milder Pseudorandom Restrictions. Raghu Meka (IAS) Parikshit Gopalan, Omer Reingold (MSR-SVC) Luca Trevian (Stanford), Salil Vadhan (Harvard). Can we generate random bits?. Can we generate random bits?. Pseudorandom Generators.

506 views • 36 slides

Kinect-based Image Segmentation

Kinect-based Image Segmentation. Presenter: Ali Pouryazdanpanah Professor: Dr. Brendan Morris University of Nevada, las vegas. Overview Intuition and basic algorithms (k-means) Advanced algorithms (spectral clustering ) Extend the methods for Kinect device. Clustering: intuition.

487 views • 35 slides

RISC, CISC, and Assemblers

RISC, CISC, and Assemblers. Hakim Weatherspoon CS 3410, Spring 2011 Computer Science Cornell University. See P&H Appendix B .1-2, and Chapters 2.8 and 2.12 . Announcements. PA1 due this Friday Work in pairs Use your resources

464 views • 31 slides

Grid Computing at Texas Tech University using SAS

Grid Computing at Texas Tech University using SAS. Ron Bremer Jerry Perez Phil Smith Peter Westfall* Director, Center for Advanced Analytics and Business Intelligence Texas Tech University. What is Grid Computing?.

599 views • 27 slides

95-702 Distributed Systems

95-702 Distributed Systems. Lecture 12: RSA. Plan for today:. Introduce RSA and a toy example using small numbers. This is from Introduction to Algorithms by Cormen, Leiserson and Rivest Describe an interesting cryptographic protocol and its limitations.

355 views • 25 slides

ECE 669 Parallel Computer Architecture Lecture 23 Parallel Compilation

ECE 669 Parallel Computer Architecture Lecture 23 Parallel Compilation. Parallel Compilation. Two approaches to compilation Parallelize a program manually Sequential code converted to parallel code Develop a parallel compiler Intermediate form

415 views • 23 slides

Public Key Cryptography

392 views • 22 slides

Cumulative Distribution Networks and the Derivative-Sum-Product Algorithm

Cumulative Distribution Networks and the Derivative-Sum-Product Algorithm. Jim C. Huang and Brendan J. Frey

303 views • 20 slides

FIRST ORDER FORMALISM FOR NON-SUPERSYMMETRIC MULTI BLACK HOLE CONFIGURATIONS

FIRST ORDER FORMALISM FOR NON-SUPERSYMMETRIC MULTI BLACK HOLE CONFIGURATIONS. A.Shcherbakov LNF INFN Frascati (Italy). in collaboration with A.Yeranyan. Supersymmetry in Integrable Systems - SIS'12. Purpose.

317 views • 20 slides

Null Space Mismatch in Cooperative Multipoint Cellular Networks

Null Space Mismatch in Cooperative Multipoint Cellular Networks. Alexandros Manolakos Wireless Systems Laboratory, Electrical Engineering Stanford University. Joint work with: Prof. Yair Noam, Prof. Andrea Goldsmith. Motivation.

329 views • 18 slides

187 views • 12 slides

RISC & CISC

299 views • 10 slides

How do you model the future?

How do you model the future?. Stochastic approach: The future can be modeled as a distribution over possible events. Very successful in many contexts. Alternative: Think of the future as an adversary, do well against all possible future outcomes. Toy Example: Ski Optimization.

447 views • 9 slides

Scope of 19763-5

Scope of 19763-5. 2010-05-26. Current scope of 19763-5. The metamodel specified in this part is intended to promote discovery and reuse of process models within/across process model repositories.

206 views • 9 slides

How do you model the future?

How do you model the future?. Stochastic approach: The future can be modeled as a distribution over possible events. Very successful in many contexts. Alternative: Think of the future as an adversary, do well against all possible future outcomes. Toy Example: Ski Optimization.

257 views • 9 slides