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Robust Face Recognition via Sparse Representation John Wright Student Member IEE

Robust Face Recognition via Sparse Representation John Wright Student Member IEE

  • cheryl-pisano
  • 18 Slides

Yang Member IEEE Arvind Ganesh Student Member IEE...

Sparse but not Grandmothercell coding in the medial temporal lobe R

Sparse but not Grandmothercell coding in the medial temporal lobe R

  • tatiana-dople
  • 5 Slides

Quian Quiroga G Kreiman C Koch and I Fried Depa...

The Diameter of Sparse Random Graphs Fan Chung y Linyuan Lu This paper is dedicated to the memory of Paul Erd os

The Diameter of Sparse Random Graphs Fan Chung y Linyuan Lu This paper is dedicated to the memory of Paul Erd os

  • ellena-manuel
  • 22 Slides

Abstract We consider the diameter of a random gra...

Image Signature Highlighting Sparse Salient Regions Xiaodi Hou Jonathan Harel and Christof Koch Member IEEE Abstract We introduce a simple image descriptor referred to as the image signature

Image Signature Highlighting Sparse Salient Regions Xiaodi Hou Jonathan Harel and Christof Koch Member IEEE Abstract We introduce a simple image descriptor referred to as the image signature

  • marina-yarberry
  • 8 Slides

We showwithin the theoretical framework of sparse ...

Sparse deep belief net model for visual area V Honglak Lee Chaitanya Ekanadham Andrew Y

Sparse deep belief net model for visual area V Honglak Lee Chaitanya Ekanadham Andrew Y

  • marina-yarberry
  • 8 Slides

Ng Computer Science Department Stanford Universit...

Efcient sparse coding algorithms Honglak Lee Alexis Battle Rajat Raina Andrew Y

Efcient sparse coding algorithms Honglak Lee Alexis Battle Rajat Raina Andrew Y

  • lindy-dunigan
  • 8 Slides

Ng Computer Science Department Stanford Universit...

Adjacency Queries in Dynamic Sparse Graphs Lukasz Kowalik Abstract We deal with the problem of maintaining a dynamic graph so tha t queries of the form is there an edge between and are processed fas

Adjacency Queries in Dynamic Sparse Graphs Lukasz Kowalik Abstract We deal with the problem of maintaining a dynamic graph so tha t queries of the form is there an edge between and are processed fas

  • trish-goza
  • 8 Slides

We consider graphs of bounded arboricity ie graph...

CHAPTER Computing the Cholesky Factorization of Sparse Matrices In many support preconditioners the preconditioner is factored before the iterations begin

CHAPTER Computing the Cholesky Factorization of Sparse Matrices In many support preconditioners the preconditioner is factored before the iterations begin

  • alida-meadow
  • 25 Slides

The Cholesky factorization of allows us to e64259...

An Adaptive Accelerated Proximal Gradient Method and its Ho motopy Continuation for Sparse Optimization Qihang Lin QIHANG LIN UIOWA EDU The University of Iowa Iowa City IA USA Lin Xiao LIN XIAO MICR

An Adaptive Accelerated Proximal Gradient Method and its Ho motopy Continuation for Sparse Optimization Qihang Lin QIHANG LIN UIOWA EDU The University of Iowa Iowa City IA USA Lin Xiao LIN XIAO MICR

  • tatiana-dople
  • 9 Slides

This method in corporates a restarting scheme to ...

Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression Ling Huang Intel Labs Berkeley ling

Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression Ling Huang Intel Labs Berkeley ling

  • marina-yarberry
  • 9 Slides

huangintelcom Jinzhu Jia UC Berkeley jzjiastatberk...

Sparse Filtering Jiquan Ngiam Pang Wei Koh Zhenghao Chen Sonia Bhaskar Andrew Y

Sparse Filtering Jiquan Ngiam Pang Wei Koh Zhenghao Chen Sonia Bhaskar Andrew Y

  • trish-goza
  • 9 Slides

Ng Computer Science Department Stanford Universit...

Simple and Practical Algorithm for Sparse Fourier Transfor Haitham Hassanieh MIT Piotr Indyk MIT Dina Katabi MIT Eric Price MIT haithamhindykdkecprice mit

Simple and Practical Algorithm for Sparse Fourier Transfor Haitham Hassanieh MIT Piotr Indyk MIT Dina Katabi MIT Eric Price MIT haithamhindykdkecprice mit

  • calandra-battersby
  • 12 Slides

edu Abstract We consider the sparse Fourier transf...

Sparse Gaussian Processes using Pseudoinputs Edward Snelson Zoubin Ghahramani Gatsby Computational Neuroscience Unit University College London Queen Square London WCN AR UK snelsonzoubin gatsby

Sparse Gaussian Processes using Pseudoinputs Edward Snelson Zoubin Ghahramani Gatsby Computational Neuroscience Unit University College London Queen Square London WCN AR UK snelsonzoubin gatsby

  • natalia-silvester
  • 8 Slides

uclacuk Abstract We present a new Gaussian process...

Sparse classiers for Automated Heart Wall Motion Abnormal ity Detection Glenn Fung Maleeha Qazi Sriram Krishnan Jinbo Bi Bharat Rao Siemens Medical Solutions Valley Stream Parkway Malvern PA USA gle

Sparse classiers for Automated Heart Wall Motion Abnormal ity Detection Glenn Fung Maleeha Qazi Sriram Krishnan Jinbo Bi Bharat Rao Siemens Medical Solutions Valley Stream Parkway Malvern PA USA gle

  • tatyana-admore
  • 7 Slides

fungsiemenscom Alan Katz St Francis Hospital 100 P...

MULTIVARIATE CONTROLLER PERFORMANCE ASSESSMENT WITHOUT INTERACTOR MATRIX A SUBSPACE APPROACH Ramesh Kadali and Biao Huang Department of Chemical and Materials Engineering University of Alberta Edmon

MULTIVARIATE CONTROLLER PERFORMANCE ASSESSMENT WITHOUT INTERACTOR MATRIX A SUBSPACE APPROACH Ramesh Kadali and Biao Huang Department of Chemical and Materials Engineering University of Alberta Edmon

  • ellena-manuel
  • 6 Slides

Theyareallequivalent onewayorotherbycertaintransf...

Linguistic Regularities in Sparse and Explicit Word Representations Omer Levy and Yoav Goldberg Computer Science Department BarIlan University RamatGan Israel omerlevyyoav

Linguistic Regularities in Sparse and Explicit Word Representations Omer Levy and Yoav Goldberg Computer Science Department BarIlan University RamatGan Israel omerlevyyoav

  • natalia-silvester
  • 10 Slides

goldberg gmailcom Abstract Recent work has shown t...

Noisy Interpolation of Sparse Polynomials and Applications Shubhangi Saraf MIT shibsmit

Noisy Interpolation of Sparse Polynomials and Applications Shubhangi Saraf MIT shibsmit

  • stefany-barnette
  • 11 Slides

edu Sergey Yekhanin Microsoft Research yekhaninmic...

A SPARSE APPROXIMATE INVERSE PRECONDITIONER FOR NONSYMMETRIC LINEAR SYSTEMS MICHELE BENZI AND MIROSLAV T UMA SIAM J

A SPARSE APPROXIMATE INVERSE PRECONDITIONER FOR NONSYMMETRIC LINEAR SYSTEMS MICHELE BENZI AND MIROSLAV T UMA SIAM J

  • luanne-stotts
  • 27 Slides

S CI C OMPUT 1998 Society for Industrial and Appl...

A TUTORIAL ON SUBSPACE CLUSTERING Ren e Vidal Johns Hopkins University The past few years have witnessed an explosion in the availability of data from multiple sources and modalities

A TUTORIAL ON SUBSPACE CLUSTERING Ren e Vidal Johns Hopkins University The past few years have witnessed an explosion in the availability of data from multiple sources and modalities

  • stefany-barnette
  • 17 Slides

For example millions of cameras have been install...

Robust Subspace Segmentation by LowRank Representation Guangcan Liu rothsjtu

Robust Subspace Segmentation by LowRank Representation Guangcan Liu rothsjtu

  • conchita-marotz
  • 8 Slides

educn Zhouchen Lin zhoulinmicrosoftcom Yong Yu yyu...

Noisy Sparse Subspace Clustering YuXiang Wang yuxiangwangnus

Noisy Sparse Subspace Clustering YuXiang Wang yuxiangwangnus

  • phoebe-click
  • 9 Slides

edusg Department of Mechanical Engineering Nationa...

Provable Subspace Clustering When LRR meets SSC YuXiang Wang School of Computer Science Carnegie Mellon University Pittsburgh PA USA yuxiangwcs

Provable Subspace Clustering When LRR meets SSC YuXiang Wang School of Computer Science Carnegie Mellon University Pittsburgh PA USA yuxiangwcs

  • tatiana-dople
  • 9 Slides

cmuedu Huan Xu Dept of Mech Engineering National U...

Robust Subspace Segmentation with Blockdiagonal Prior Jiashi Feng Zhouchen Lin Huan Xu Shuicheng Yan Department of ECE National University of Singapore Singapore Key Lab

Robust Subspace Segmentation with Blockdiagonal Prior Jiashi Feng Zhouchen Lin Huan Xu Shuicheng Yan Department of ECE National University of Singapore Singapore Key Lab

  • calandra-battersby
  • 8 Slides

of Machine Perception School of EECS Peking Unive...

Unsupervised Visual Domain Adaptation Using Subspace Alignment Basura Fernando Amaury Habrard Marc Sebban and Tinne Tuytelaars KU Leuven ESATPSI iMinds Belgium Laboratoire Hubert Curien UMR rue

Unsupervised Visual Domain Adaptation Using Subspace Alignment Basura Fernando Amaury Habrard Marc Sebban and Tinne Tuytelaars KU Leuven ESATPSI iMinds Belgium Laboratoire Hubert Curien UMR rue

  • marina-yarberry
  • 8 Slides

In this context our method seeks a domain adaptat...

Efcient Learning of Sparse Representations with an EnergyBased Model MarcAurelio Ranzato Christopher Poultney Sumit Chopra Yan n LeCun Courant Institute of Mathematical Sciences New York University N

Efcient Learning of Sparse Representations with an EnergyBased Model MarcAurelio Ranzato Christopher Poultney Sumit Chopra Yan n LeCun Courant Institute of Mathematical Sciences New York University N

  • alexa-scheidler
  • 8 Slides

nyuedu Abstract We describe a novel unsupervised m...

Krylo Subspace ec hniques for ReducedOrder Mo deling of Nonlinear Dynamical Systems Zhao jun Bai Daniel Sk ogh Departmen of Computer Science Sw edish Defense Researc Agency and Departmen of Mathemati

Krylo Subspace ec hniques for ReducedOrder Mo deling of Nonlinear Dynamical Systems Zhao jun Bai Daniel Sk ogh Departmen of Computer Science Sw edish Defense Researc Agency and Departmen of Mathemati

  • alexa-scheidler
  • 6 Slides

There has een uc curren in terest in dev eloping ...

Optimally Sparse Representation in General nonOrthogonal Dictionaries via Minimization David L

Optimally Sparse Representation in General nonOrthogonal Dictionaries via Minimization David L

  • natalia-silvester
  • 19 Slides

Donoho and Michael Elad Classi64257cation P ysica...

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

  • briana-ranney
  • 10 Slides

Such matrices has several attractive properties t...

Ecient Highly OverComplete Sparse Coding using a Mixture Model Jianchao Yang Kai Yu and Thomas Huang Beckman Institute University of Illinois at Urbana Champaign IL NEC Laboratories America Cuperti

Ecient Highly OverComplete Sparse Coding using a Mixture Model Jianchao Yang Kai Yu and Thomas Huang Beckman Institute University of Illinois at Urbana Champaign IL NEC Laboratories America Cuperti

  • kittie-lecroy
  • 14 Slides

illinoisedu kyusvneclabscom Abstract Sparse coding...

Probabilistic LowRank Subspace Clustering S

Probabilistic LowRank Subspace Clustering S

  • jane-oiler
  • 9 Slides

Derin Babacan University of Illinois at UrbanaCha...

Behavior Recognition via Sparse SpatioTemporal Features Piotr Doll ar Vincent Rabaud Garrison Cottrell Serge Belongie Department of Computer Science and Engineering University of California San Diego

Behavior Recognition via Sparse SpatioTemporal Features Piotr Doll ar Vincent Rabaud Garrison Cottrell Serge Belongie Department of Computer Science and Engineering University of California San Diego

  • kittie-lecroy
  • 8 Slides

ucsdedu Abstract A common trend in object recognit...

Storing a Sparse Table with O Worst Case Access Time MICHAEL L

Storing a Sparse Table with O Worst Case Access Time MICHAEL L

  • cheryl-pisano
  • 7 Slides

FREDMAN AND JNOS KOMLOS University of Califorma S...

Subspace Clustering for Sequential Data Stephen Tierney and Junbin Gao School of Computing and Mathematics Charles Sturt University Bathurst NSW Australia stierney jbgao csu

Subspace Clustering for Sequential Data Stephen Tierney and Junbin Gao School of Computing and Mathematics Charles Sturt University Bathurst NSW Australia stierney jbgao csu

  • kittie-lecroy
  • 8 Slides

eduau Yi Guo Division of Computational Informatics...

Static Single Assignment SSA Form A sparse program representation for dataow

Static Single Assignment SSA Form A sparse program representation for dataow

  • olivia-moreira
  • 18 Slides

CSL862 SSA form brPage 2br Computing Static Singl...

SUBSPACE METHODS FOR COMPUTING THE PSEUDOSPECTRAL ABSC

SUBSPACE METHODS FOR COMPUTING THE PSEUDOSPECTRAL ABSC

  • karlyn-bohler
  • 23 Slides

The pseudospectral abscissa and the stability rad...

Improved Image Set Classication via Joint Sparse Appro

Improved Image Set Classication via Joint Sparse Appro

  • alida-meadow
  • 8 Slides

Harandi Brian C Lovell University of Queensland S...

Sparse Approximated Nearest Points for Image Set Class

Sparse Approximated Nearest Points for Image Set Class

  • debby-jeon
  • 8 Slides

Mian Robyn Owens School of Computer Science Soft...

Approximating independent sets in sparse graphs Nikhil

Approximating independent sets in sparse graphs Nikhil

  • karlyn-bohler
  • 8 Slides

The best known result for the problem is an SDP b...

BARRELLE SUBSPACE O SPACE WIT SUBSERIE DECOMPOSITION O

BARRELLE SUBSPACE O SPACE WIT SUBSERIE DECOMPOSITION O

  • debby-jeon
  • 13 Slides

If in addition A is monotone then it is barrelled...

Sparse deep belief net model for visual area V Honglak

Sparse deep belief net model for visual area V Honglak

  • natalia-silvester
  • 8 Slides

Ng Computer Science Department Stanford Universit...

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