'Uniform sampling' presentation slideshows

TUTORIAL: Randomized Algorithms for Matrices and Massive Data Sets

TUTORIAL: Randomized Algorithms for Matrices and Massive Data Sets. Michael W. Mahoney Yale University Dept. of Mathematics (now at Yahoo! Research ). Petros Drineas RPI Dept. of Computer Science. (Most recent copy) available at: http://www.cs.yale.edu/homes/mmahoney

1.54k views • 152 slides

Rendering 186. 101 - SS 2014

795 views • 70 slides

Randomized matrix algorithms and their applications

Randomized matrix algorithms and their applications. Petros Drineas Rensselaer Polytechnic Institute Computer Science Department. To access my web page:. drineas. Randomized algorithms. Randomization and sampling allow us to design provably accurate algorithms for problems that are:

559 views • 38 slides

507 views • 38 slides

A Theory of Monte Carlo Visibility Sampling

A Theory of Monte Carlo Visibility Sampling. Ravi Ramamoorthi UC Berkeley John Anderson Pixar (now at Google) Mark Meyer Pixar Derek Nowrouzezahrai Disney Research Zurich University of Montreal. Motivation.

441 views • 32 slides

Sampling Strategies for PRMs

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Sampling Strategies for PRMs

403 views • 29 slides

Direct Sampling on Surfaces for High Quality Remeshing

Direct Sampling on Surfaces for High Quality Remeshing. Yan Fu Bingfeng Zhou fuyan@icst.pku.edu.cn cczbf@pku.edu.cn Peking University. Presenter: XiaoXiao Hou. Motivation. Triangle meshes Prevalent form of 3D model representation Quality of meshes

273 views • 27 slides

Presented By Anirban Maiti Chandrashekar Vijayarenu

Dynamic Sample Selection for Approximate Query Processing Brain Babcock (Stanford Univ ) Surajit Chaudhuri (Microsoft Research) Gautam Das (Microsoft Research). Presented By Anirban Maiti Chandrashekar Vijayarenu. Related Work.

306 views • 24 slides

Surface Reconstruction

Surface Reconstruction. Approach. Overview of important methods Properties needed Possible solution Method Current work Next Steps Conclusions and Discussion. Voronoi cells creation. Links creation. Triangles removal. p. Fig b. Fig c. Fig d. Overview of different methods.

259 views • 23 slides

Overcoming Limitations of Sampling for Aggregation Queries

Overcoming Limitations of Sampling for Aggregation Queries. Surajit Chaudhuri, Microsoft Research Gautam Das, Microsoft Research Mayur Datar, Stanford University Rajiv Motwani, Stanford University Vivek Narasayya, Microsoft Research. Presented by Daniel Kuang CSE@UTA. Outline.

576 views • 22 slides

Automatic cylinder detection using Hough Transform.

Automatic cylinder detection using Hough Transform. T.Rabbani t.rabbani@citg.tudelft.nl. Section of Photogrammetry and Remote Sensing. Hough Transform for automatic cylinder detection. 85% of objects found in industrial scenes can be approximated by planes, spheres, cones and cylinders

222 views • 22 slides

The Shapes Of Cross Correlation Interferometers

The Shapes Of Cross Correlation Interferometers. Daniel Birman 034815654 Boaz Chen 024356560. Aperture Synthesis. In astronomy carried out at radio frequencies it is possible to record both the amplitude and phase from stellar objects.

271 views • 14 slides

Center for life nanoscience CLNS-IIT, P.le A.Moro 2, 00815, Rome, Italy arXiv, Feb 18, 2014

Monte Carlo uniform sampling of high-dimensional convex polytopes: reducing the condition number with applications in metabolic network analysis. Center for life nanoscience CLNS-IIT, P.le A.Moro 2, 00815, Rome, Italy arXiv, Feb 18, 2014 Mathematics-Statistics. Presented by Chao Wang.

203 views • 13 slides