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® ® Geo-Processing in Cyberinfrastructure: Making the Web and easy to use geospatial computing platform George Percivall, OGC and Ingo Simonis, OGC-E Lionel.
Documents ® ® Geo-Processing in Cyberinfrastructure: Making the Web and easy to use geospatial computing...

Slide 1® ® Geo-Processing in Cyberinfrastructure: Making the Web and easy to use geospatial computing platform George Percivall, OGC and Ingo Simonis, OGC-E Lionel Menard,…

Graph Data Mining with Map-Reduce Nima Sarshar, Ph.D. INTUIT Inc, Nima_sarshar@intuit.com.
Documents Graph Data Mining with Map-Reduce Nima Sarshar, Ph.D. INTUIT Inc, [email protected].

Slide 1Graph Data Mining with Map-Reduce Nima Sarshar, Ph.D. INTUIT Inc, [email protected] Slide 2 Intuit, Graphs and Me Me: Large-scale graph data processing, complex…

PhD defense
Presentations & Public Speaking PhD defense

1.Mathematical Methods of Tensor Factorization Applied to Recommender Systems Dott. Giuseppe Ricci Scuola di Dottorato in Informatica XXVI Ciclo PhD Defense – 26 May 2014…

Brook for GPUs Ian Buck, Tim Foley, Daniel Horn, Jeremy Sugerman, Kayvon Fatahalian, Mike Houston, Pat Hanrahan Stanford University DARPA Site Visit, UNC.
Documents Brook for GPUs Ian Buck, Tim Foley, Daniel Horn, Jeremy Sugerman, Kayvon Fatahalian, Mike Houston,.....

Slide 1 Brook for GPUs Ian Buck, Tim Foley, Daniel Horn, Jeremy Sugerman, Kayvon Fatahalian, Mike Houston, Pat Hanrahan Stanford University DARPA Site Visit, UNC May 6th,…

INTERACTIVE SMALL-STEP ALGORITHMS I: AXIOMATIZATION ANDREAS BLASS, YURI GUREVICH, DEAN ROSENZWEIG, AND BENJAMIN ROSSMAN.
Documents INTERACTIVE SMALL-STEP ALGORITHMS I: AXIOMATIZATION ANDREAS BLASS, YURI GUREVICH, DEAN ROSENZWEIG,.....

Slide 1 INTERACTIVE SMALL-STEP ALGORITHMS I: AXIOMATIZATION ANDREAS BLASS, YURI GUREVICH, DEAN ROSENZWEIG, AND BENJAMIN ROSSMAN Slide 2 In earlier work, the Abstract State…

Region Filling and Object Removal by Exemplar-Based Image Inpainting.
Documents Region Filling and Object Removal by Exemplar-Based Image Inpainting.

Slide 1 Region Filling and Object Removal by Exemplar-Based Image Inpainting Slide 2 Introduction Slide 3 A new algorithm is proposed for removing large objects from digital…

Artificial Intelligence: Prospects for the 21 st Century Henry Kautz Department of Computer Science University of Rochester.
Documents Artificial Intelligence: Prospects for the 21 st Century Henry Kautz Department of Computer Science....

Artificial Intelligence: Prospects for the 21st Century Henry Kautz Department of Computer Science University of Rochester What is Artificial Intelligence? Study of principles…

Asymptotic Analysis-Ch. 3 Names for order of growth for classes of algorithms: constant (n 0 ) = (1) logarithmic (lgn) linear (n) (nlgn) quadratic.
Documents Asymptotic Analysis-Ch. 3 Names for order of growth for classes of algorithms: constant (n 0 ) = .....

Asymptotic Analysis Asymptotic Analysis-Ch. 3 Names for order of growth for classes of algorithms: constant (n0) = (1) logarithmic (lgn) linear (n) (nlgn)…

Lecture07
Documents Lecture07

1. Robert CollinsCSE486, Penn StateLecture 7: Correspondence Matching Reading: T&V Section 7.2 2. Robert CollinsRecall: Derivative of Gaussian FilterCSE486, Penn StateIx=dI(x,y)/dxGxI(x,y)…

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