'Free model' presentation slideshows

Bilateral Mesh Denoising

Bilateral Mesh Denoising. Shachar Fleishman Iddo Drori Daniel Cohen-Or Tel Aviv University. Denoising. Input (scanned) model Additive noise. +. =. filter. +. =. Denoising. Input (scanned) model Additive noise Noise free model Preserve features. Image denoising.

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516 views • 42 slides

General introduction Slim disk model (simplified model) Observational tests - case of ULXs

Super-Critical Accretion Flow? Shin Mineshige (Kyoto Univ.) with K. Ohsuga, K. Vierdayanti, K. Ebisawa, T. Kawaguchi AGN conference @ Xian (10/16/2006). General introduction Slim disk model (simplified model) Observational tests - case of ULXs 2D radiation-hydrodynamical (RHD) simulations.

454 views • 28 slides

Message Logging Pessimistic & Optimistic

Message Logging Pessimistic & Optimistic. CS717 Lecture 10/16/01-10/18/01 Kamen Yotov kyotov@cs.cornell.edu. Intruduction. Context & Applications Check-pointing Message Logging Pessimistic (failure-free mode suffers) Optimistic (good for failure-free mode)

528 views • 27 slides

Introduction to Scale Free (SF) network

Introduction to Scale Free (SF) network. The Topology of the Internet. by Chan Chi Yuk. Agenda. Motivation Background Scale Free Models Power Laws Summary. Motivation. Want to solve network traffic problem ? Need to know the topology The Internet has done a great job ? But how?.

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315 views • 20 slides

Aerosol Data Assimilation with Lidar Observations and Ensemble Kalman Filter

Aerosol Data Assimilation with Lidar Observations and Ensemble Kalman Filter. T. Thomas Sekiyama ( MRI/JMA, Japan ) T. Y. Tanaka ( MRI/JMA, Japan ) A. Shimizu ( NIES, Japan ) T. Miyoshi ( Univ. of Maryland, US ). The Second GALION Workshop 22 September 2010, Geneva, Switzerland. Agenda.

339 views • 18 slides

Null commandos

Null commandos. Final Presentation Ronnie Hout , Dylan Miller, Michael Rojas, Geoff Smith, Ross Wang. What Is New Since Last Timebox ?. Changed HUD New Enemy models Working Option Menu New Sounds New levels Boss. What Else Is New Since Last Timebox ? (Cont.).

187 views • 8 slides

Computational Modeling of Anatomical and Functional Variability in Populations

Computational Modeling of Anatomical and Functional Variability in Populations. Polina Golland Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Population Modeling. Traditional Approach: External information defines populations

186 views • 8 slides