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Approximation Bounds for Sparse Principal Component Analysis Alexandre d’Aspremont CNRS Ecole Polytechnique With Francis Bach INRIA-ENS and Laurent El Ghaoui UC Berkeley…
Sparse recovery using sparse random matrices Sparse Recovery (Using Sparse Matrices) Piotr Indyk MIT 1 Heavy Hitters Also called frequent elements and elephants Define HHpφ…
A Non-sparse Tutorial on Sparse FFTs Mark Iwen Duke University February 17, 2013 M.A. Iwen Duke Fast Sparse FFTs February 17, 2013 1 32 Problem Setup Recover f : 0,2π 7→…
Lower Bounds for Succinct Data Structures Dynamic Lower Bounds Mihai Pătrașcu What can binary trees do? maintain aggregates over a static structure insert and delete nodes…
Introduction to Machine Learning CMU-10701 9. Tail Bounds Barnabás Póczos Fourier Transform and Characteristic Function 2 Fourier Transform 3 Fourier transform Inverse…
UNIFORM BOUNDS FOR PERIOD INTEGRALS AND SPARSE EQUIDISTRIBUTION JAMES TANIS College de France 3 Rue d’Ulm 75014 Paris France PANKAJ VISHE Department of Mathematics University…
Slide 1 Sparse Abstract Interpretation The material in these slides have been taken from the paper "Parameterized Construction of Program Representations for Sparse…
1. Sparse Representations kJoel A. TroppDepartment of MathematicsThe University of Michigan [email protected] supported in part by NSF and DARPA1 2. IntroductionSparse…
Continuation of Sparse EigendecompositionsCSE 07, 23 Feb 07 Basic setting A : [0, 1] → Rn×n Want to compute eigenvectors v(s) and values λ(s) for A(s).
Tutorial: Sparse Signal Recovery Anna C. Gilbert Department of Mathematics University of Michigan (Sparse) Signal recovery problem signal or population length N k important…
Slide 1Hierarchical Polynomial-Bases & Sparse Grids 1/21 grid: Gitterсéтка sparse: spärlich, dünnрéдкий Slide 2 2/21 1. Introduction Let be a function space…
PowerPoint Presentation Multiplicative Bounds for Metric Labeling M. Pawan Kumar École Centrale Paris Joint work with Phil Torr, Daphne Koller Metric Labeling Variables…
1+eps-Approximate Sparse Recovery Eric Price MIT David Woodruff IBM Almaden Compressed Sensing Choose an r x n matrix A Given x 2 Rn Compute Ax Output a vector y so that…
Microsoft PowerPoint - Lecture_16_Correlations.pptx• Also called: Pearson correlation coefficient ρXY=σXY /σXσY
1. Sparse Coding and Dictionary Learningfor Image AnalysisPart III: Optimization for Sparse Coding and Dictionary Learning Francis Bach, Julien Mairal, Jean Ponce and Guillermo…
()University College Dublin Open Problems Session UCSD Basic Definitions Basic Definitions Definition Code C is a set of words of length n over an alphabet Σ. Vitaly
1 Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes Dong Yin, Ramtin Pedarsani, Yudong Chen, and Kannan Ramchandran Abstract In this paper, we consider…
SPECTRA OF SPARSE GRAPHS AND MATRICES ALEXEY SPIRIDONOV Abstract We begin by brie�y reviewing the essential results about sparse random graphs We work primarily in the…
Sparse recovery for spherical harmonic expansionsRachel Ward1 Workshop Sparsity and Cosmology, Nice May 31, 2011 Cosmic Microwave Background Radiation (CMB) map • Temperature
PROIECT 1. TEMA DE PROIECT Sa se proiecteze LCP de la un strung normal avand urmatoarele caracteristici : Numarul de trepte de turatii : Turatia maxima : Ratia seriei geometrice…