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Jeremy Tantrum and Werner Stuetzle (also Alejandro Murua) Department ... Model Based & Hybrid Clustering of Large Data ... Kettenring, and Landwehr ...
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Title: PowerPoint Presentation Author: Werner Stuetzle Last modified by: Werner Stuetzle Created Date: 5/5/2001 6:44:23 PM Document presentation format
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Title: No Slide Title Author: Werner Stuetzle Last modified by: Werner Stuetzle Created Date: 6/17/1995 11:31:02 PM Document presentation format: Overhead
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Spline Smoothing on Surfaces Tom Duchamp (duchamp@math.washington.edu) Department of Mathematics Werner Stuetzle (wxs@stat.washington.edu) Department of Statistics
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An Interval MST Procedure Rebecca Nugent w/ Werner Stuetzle November 16, 2004 The Minimal Spanning Tree The MST of a graph is the spanning tree with a minimal sum of ...
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Werner Stuetzle (wxs@stat.washington.edu) Department of Statistics. University ... http://www.stat.washington.edu/wxs/Surface-splines-01/thin-plate-6-14-02.pd f ...
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August 6, 2006. JSM Seattle. 1. Generalized Single Linkage Clustering. Werner Stuetzle ... August 6, 2006. JSM Seattle. 3. Detect that there are 5 or 6 distinct ...
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Stanford. 1. Generalized Single Linkage Clustering. Werner Stuetzle. Rebecca Nugent ... Stanford. 6. Detect that there are 5 or 6 distinct. groups. Assign group ...
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Title: PowerPoint Presentation Author: Werner Stuetzle Last modified by: Werner Stuetzle Created Date: 5/5/2001 6:44:23 PM Document presentation format
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1. John Hartigan's contributions to clustering (and some ... cluster.id. group.id 3 4 5. 1 0 191 9. 2 6 18 176. 3 96 0 4. Almost perfect! 24. 24. 25. 25 ...
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Title: Clustering with Confidence Rough Draft Author: rnugent Last modified by: Rebecca Nugent Created Date: 12/20/2004 9:33:04 PM Document presentation format
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10/7/2002. 1. What are the effects of 'Bagging'? Some experimental and theoretical results ... The Wharton School Adjunct Professor, CSE. University of ...
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Title: My PhD Thesis Work Author: Hugues Hoppe Last modified by: Hugues Hoppe Created Date: 1/20/1995 5:41:50 PM Document presentation format: On-screen Show
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1. Bias and Variance of Bagging based on Subsampling with & without Replacement ... The Wharton School Adjunct Professor, CSE. University of Pennsylvania ...
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Dynamic Flood Risk Conditional on Climate Variation: A New Direction for Managing Hydrologic Hazards in the 21st Century? Upmanu Lall Dept. of Earth & Environmental ...
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My PhD Thesis Work. With: Tony DeRose (Computer Science) Tom ... run 'marching cubes' Phase 2: Mesh optimization. Input: data points P, initial mesh Minitial ...
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1. Analysis of Nonlinear Time Series Model for Independent Component Analysis. Introduction ... 4. Adaptive estimation of dimension reduction space. Xia, Tong, ...
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Surface Light Fields. for 3D Photography. Daniel Wood Daniel Azuma ... (Thanks for the use of the Stanford Spherical Gantry) Michael Cohen and Richard Szeliski ...
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Insightful Corporation University of Washington. This work has been supported by NSA grant 62-1942 ... 15,863 news stories for one year from Reuters and CNN. 25, ...
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Construction of parametrization. parametrization r ... We construct: a simple domain mesh and an exact parametrization for M. Allows MRA to be applied ...
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Title: Conference Tracker Modules Author: Kevin Last modified by: Kevin Created Date: 2/15/2006 12:04:34 AM Document presentation format: On-screen Show
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Estimation Approximation Problems in 3D Photography
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1. Learning the topology of a data set. Micha l Aupetit ... we convolve the components by an isotropic Gaussian noise. we associate to each component ...
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Computer graphics. Genomics ('Biology is an Information Science' ... to a problem in graphics / vision. 3D Photography is an emerging technology aimed at ...
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A na ve way: parameterizing the whole mesh after each interval ... Parameterizing an enlargement of the deformed region which is defined by the number of layers ...
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June 11, 2005. Interface / CSNA Meeting St. Louis. 1. Estimating ... June 11, 2005. Interface / CSNA Meeting St. Louis. 6. Detect that there are 5 or 6 distinct ...
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In a discrete case, a triangulation S(G,X) is any planar triangulation P which ... B., Petitjean, S., Ray, N., and Maillot, J. Least Squares Conformal Maps for ...
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Image courtesy of Marc Levoy and the. Digital Michelangelo project. Left: Photo of ... Images courtesy of Marc Rioux and the Canadian National Research Council ...
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Elastic Maps, Graphs, and Topological Grammars. Alexander Gorban, Leicester ... Data with gaps are modelled as affine manifolds, the nearest point on the ...
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Hierarchical Model-Based Clustering of Large Datasets Through Fractionation and Refractionation Jeremy Tantrum, Department of Statistics, University of Washington
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maximize the saved time in rendering = minimize the number of polygons ... Medicine - Endoscopy. Cave style models. Corridor test [Yagel96] Culling. Visibility ...
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For a triangular mesh minimum of distance to each of the triangles ... [Hoff99] K. Hoff, T. Culver, J. Keyser, M.Lin, D. Manocha, 'Fast Computation of ...
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University of Washington. Govind Kabra. University Highlights ... MetaCrawler, 1995. Erik Selberg now works at MSN Search. Internet Softbots, 1991. KnowItAll ...
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Edelsbrunner and Shah (1997) which proved that given a manifold and a set of N ... Edelsbrunner and Shah (1997) which proved that given a manifold and a set of N ...
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Quick overview of multiresolution methods and algorithms ... In general, takes a coarse mesh and refines it based on some algorithm or constraints ...
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Two paradigms for data analysis: statistics and modelling. Clustering ... in anamnesis. Stenocardia functional. class. Codon usage in. all genes of one genome ...
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Regular and restricted design rule (RDR) logic fabrics ... 2/3rd Annular. s = 0.75. Pileggi 6. www.c2s2.org. Example: Gridded M1 Patterns. Pattern B ...
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Given: Collection of n objects, characterized by ... Compact partitioning: Partition collection of objects into compact strata. 3 ... rs = 1. rs = 5. rs = 2. 15 ...
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compact partitioning. Unsupervised ... The prototypical compact partitioning method: K-means clustering ... compact partitioning and unsupervised learning. ...
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