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Approximation-Sparse published presentations and documents on DocSlides.

Online Performance Guarantees for Sparse Recovery
Online Performance Guarantees for Sparse Recovery
by cheryl-pisano
Raja . Giryes. ICASSP 2011. Volkan. Cevher. Agen...
Large-Scale Distributed Non-negative Sparse Coding and Sparse Dictionary Learning
Large-Scale Distributed Non-negative Sparse Coding and Sparse Dictionary Learning
by danika-pritchard
Author: . Vikas. . Sindhwani. and . Amol. . Gh...
In Defense of Sparse Tracking: Circulant Sparse Tracker
In Defense of Sparse Tracking: Circulant Sparse Tracker
by natalia-silvester
Tianzhu . Zhang. 1,2. , . Adel Bibi. 1. , . Berna...
Sparse Recovery Using Sparse Matrices Anna Gilbert Piotr Indyk Abstract We survey algorithms for sparse recovery prob lems that are based on sparse random matrices
Sparse Recovery Using Sparse Matrices Anna Gilbert Piotr Indyk Abstract We survey algorithms for sparse recovery prob lems that are based on sparse random matrices
by briana-ranney
Such matrices has several attractive properties t...
Sparse Euclidean projections
Sparse Euclidean projections
by lindy-dunigan
onto convex sets. Volkan. Cevher. Laboratory. f...
Structured sparse acoustic modeling for speech separation
Structured sparse acoustic modeling for speech separation
by maisie
Afsaneh . Asaei. Joint work with: . Mohammad . Gol...
Parallelization of Sparse
Parallelization of Sparse
by tatyana-admore
Parallelization of Sparse Coding & Dictiona...
The Horseshoe Estimator for Sparse Signals
The Horseshoe Estimator for Sparse Signals
by lois-ondreau
Reading Group Presenter:. Zhen . Hu. Cognitive Ra...
The Sparse FFT: From Theory to Practice
The Sparse FFT: From Theory to Practice
by natalia-silvester
Dina . Katabi. O. . Abari. , E. . Adalsteinsson. ...
Matrix Extensions to Sparse Recovery
Matrix Extensions to Sparse Recovery
by aaron
Yi Ma. 1,2. . Allen Yang. 3. John . Wrigh...
Parallel Direct Methods for Sparse Linear Systems
Parallel Direct Methods for Sparse Linear Systems
by tatiana-dople
Contents. Problem Statement. Motivation. Types . ...
ACCELERATING SPARSE CHOLESKY FACTORIZATION ON GPUs
ACCELERATING SPARSE CHOLESKY FACTORIZATION ON GPUs
by ellena-manuel
Dileep Mardham. Introduction. Sparse Direct Solve...
Sparse and low -rank recovery problems in signal processing and machine learning
Sparse and low -rank recovery problems in signal processing and machine learning
by conchita-marotz
. Jeremy Watt and . Aggelos. . Katsaggelos. Nor...
Image Decomposition and Inpainting By Sparse &
Image Decomposition and Inpainting By Sparse &
by cheryl-pisano
Michael . Elad. The Computer Science Department. ...
Sparse Cutting-Planes Marco
Sparse Cutting-Planes Marco
by alida-meadow
Molinaro. Santanu. . Dey. , Andres . Iroume. , ....
A Generalization of Sparse PCA
A Generalization of Sparse PCA
by pasty-toler
to Multiple Correspondence . Analysis. G. Saporta...
Sparsity-Based Signal Models and the Sparse K-SVD Algorithm
Sparsity-Based Signal Models and the Sparse K-SVD Algorithm
by yoshiko-marsland
Ron Rubinstein. Advisor: Prof. Michael . Elad. Oc...
Analysis of Sparse Convolutional Neural Networks
Analysis of Sparse Convolutional Neural Networks
by min-jolicoeur
Sabareesh Ganapathy. Manav Garg. Prasanna. . Ven...
Single Image Super-Resolution Using Sparse Representation
Single Image Super-Resolution Using Sparse Representation
by jane-oiler
. Michael Elad. The Computer Science Department....
Sparse
Sparse
by mitsue-stanley
Recovery. . (. Using . Sparse. . Matrices). Pio...
An ALPS’ view of Sparse Recovery
An ALPS’ view of Sparse Recovery
by mitsue-stanley
Volkan . Cevher. volkan.cevher@epfl.ch. Laborator...
Recovering low rank and sparse matrices from compressive me
Recovering low rank and sparse matrices from compressive me
by giovanna-bartolotta
Aswin C Sankaranarayanan. Rice University. Richar...
The Sparse FFT:
The Sparse FFT:
by liane-varnes
From Theory to Practice . Dina . Katabi. O. . Ab...
A Generalization of Sparse PCA
A Generalization of Sparse PCA
by pasty-toler
to Multiple Correspondence . Analysis. G. Saporta...
Sparse Inverse Covariance Estimation with Graphical LASSO
Sparse Inverse Covariance Estimation with Graphical LASSO
by danika-pritchard
J. Friedman, T. Hastie, R. . Tibshirani. Biostati...
Design of Sparse Filters for Channel Shortening
Design of Sparse Filters for Channel Shortening
by lois-ondreau
Aditya. Chopra and Prof. Brian L. Evans. Departm...
Compressed Sparse Matrix Storage
Compressed Sparse Matrix Storage
by lois-ondreau
Full storage:. . 2-dimensional array.. (nrows*...
Sensing via Dimensionality Reduction
Sensing via Dimensionality Reduction
by cheryl-pisano
Structured Sparsity Models. Volkan Cevher. volkan...
Approximation for Directed Spanner
Approximation for Directed Spanner
by stefany-barnette
Grigory. . Yaroslavtsev. . Penn State + AT&...
Sina Jafarpour
Sina Jafarpour
by tatiana-dople
Princeton University. Game Theory Meets. Compres...
Approximation Algorithms
Approximation Algorithms
by tatyana-admore
When the best just isn’t possible. Jeff Chastin...
– 1 – Data Converters Successive Approximation ADC Professor Y. Chiu
– 1 – Data Converters Successive Approximation ADC Professor Y. Chiu
by sherrill-nordquist
EECT 7327 . Fall 2014. Successive Approximation....
Approximation Algorithms for
Approximation Algorithms for
by liane-varnes
Stochastic . Optimization. Anupam Gupta. Carnegie...
Use the Linear Approximation to estimate
Use the Linear Approximation to estimate
by mitsue-stanley
How accurate is your estimate?. Differential Nota...
Improved Approximation for the Directed Spanner Problem
Improved Approximation for the Directed Spanner Problem
by stefany-barnette
Grigory. . Yaroslavtsev. . Penn State + AT&...
Properties of Approximations
Properties of Approximations
by cheryl-pisano
Pawlak’s. Rough Sets. Section 2.4. Properties ...
Approximation Algorithms for Graph Routing Problems
Approximation Algorithms for Graph Routing Problems
by faustina-dinatale
Julia Chuzhoy. Toyota Technological Institute at ...
Approximation of
Approximation of
by celsa-spraggs
δ. -Timeliness. Carole . Delporte-Gallet. , . LI...
Parameterized Approximation Scheme for the Multiple Knapsac
Parameterized Approximation Scheme for the Multiple Knapsac
by myesha-ticknor
Problem. Yan Lu. 2011-04-26. Klaus Jansen SODA 20...
Neural Network Approximation of High-dimensional Functions
Neural Network Approximation of High-dimensional Functions
by lindy-dunigan
Peter Andras. School of Computing and Mathematics...