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Approximation Sparse published presentations and documents on DocSlides.

Drones Collecting Cell Phone Data in

Drones Collecting Cell Phone Data in

  • myesha-ticknor
  • 19 Slides

LA. http://www.uasvision.com/2015/02/25/drones-co...

An Approximation of Volumetric Lighting

An Approximation of Volumetric Lighting

  • trish-goza
  • 44 Slides

By Thomas Brown and Albert Ng. What We’ll Discu...

Rollback-Free Value Prediction

Rollback-Free Value Prediction

  • test
  • 7 Slides

with Approximate Loads. Georgia Institute of Tech...

Stochastic

Stochastic

  • cheryl-pisano
  • 44 Slides

Galerkin. Methods and Software. Sandia National ...

The Recursive Property of the Binomial Distribution

The Recursive Property of the Binomial Distribution

  • lois-ondreau
  • 5 Slides

Background. Historically. , the Binomial Distribu...

Challenges in the Design and

Challenges in the Design and

  • natalia-silvester
  • 41 Slides

Evaluation . of Content. -Centric Networks. Jim ...

Facility Location games

Facility Location games

  • ellena-manuel
  • 47 Slides

Origin to recent development. Minming Li. City Un...

Learning Non-Parametric Basis Independent Models from Point

Learning Non-Parametric Basis Independent Models from Point

  • yoshiko-marsland
  • 66 Slides

Volkan. Cevher. Laboratory. for Information and...

Submodularization

Submodularization

  • celsa-spraggs
  • 33 Slides

. for Binary . Pairwise. Energies. Lena . Gorel...

Sampling from Gaussian Graphical Models via Spectral Sparsi

Sampling from Gaussian Graphical Models via Spectral Sparsi

  • briana-ranney
  • 40 Slides

Richard Peng. M.I.T.. Joint work with . Dehua. C...

Homelessness in

Homelessness in

  • olivia-moreira
  • 37 Slides

Placer County. Final Presentation of . Findings a...

Differentially Encoding

Differentially Encoding

  • ellena-manuel
  • 26 Slides

Method used to encode information in terms of si...

Zhilin

Zhilin

  • marina-yarberry
  • 22 Slides

. Zhang, . Bhaskar. D. . Rao. University of Cal...

Optical phantoms mimicking spectral properties of laborator

Optical phantoms mimicking spectral properties of laborator

  • lois-ondreau
  • 13 Slides

biotissues. D.A. Loginova. 1,2. , E.A. Sergeeva. ...

University of California San Diego

University of California San Diego

  • pasty-toler
  • 23 Slides

*University . of California . Berkeley. Mohsen Im...

CS 240A: Solving Ax = b in parallel

CS 240A: Solving Ax = b in parallel

  • celsa-spraggs
  • 35 Slides

Dense A:. Gaussian elimination with partial piv...

An Efficient Parallel Solver for SDD Linear Systems

An Efficient Parallel Solver for SDD Linear Systems

  • marina-yarberry
  • 39 Slides

Richard Peng. M.I.T.. Joint work with Dan Spielma...

Sparsity-Based Signal Models and the Sparse K-SVD Algorithm

Sparsity-Based Signal Models and the Sparse K-SVD Algorithm

  • yoshiko-marsland
  • 83 Slides

Ron Rubinstein. Advisor: Prof. Michael . Elad. Oc...

Mike E. Davies

Mike E. Davies

  • danika-pritchard
  • 68 Slides

University . of Edinburgh – . Scotland. Remi. ...

Non-linear objectives

Non-linear objectives

  • min-jolicoeur
  • 46 Slides

in mechanism design. Shuchi Chawla. University of...

Sampling in Graphs

Sampling in Graphs

  • mitsue-stanley
  • 33 Slides

Alexandr . Andoni. (Microsoft Research). Graph co...

Numerical solutions of equations

Numerical solutions of equations

  • phoebe-click
  • 26 Slides

Introduction. This chapter gives you several meth...

Compression of

Compression of

  • phoebe-click
  • 19 Slides

CNNs. Mooyeol. . Baek. Xiangyu. Zhang, . Jianhu...

Local and Local-Global Approximations

Local and Local-Global Approximations

  • cheryl-pisano
  • 16 Slides

Local algebraic approximations. Variants on Taylo...

Communication-Avoiding

Communication-Avoiding

  • aaron
  • 61 Slides

Iterative Methods. Erin Carson. UC Berkeley Paral...

SAGE: Self-Tuning Approximation for Graphics Engines

SAGE: Self-Tuning Approximation for Graphics Engines

  • min-jolicoeur
  • 54 Slides

Mehrzad Samadi. 1. , Janghaeng Lee. 1. , D. Anous...

Efficient Algorithms for Robust

Efficient Algorithms for Robust

  • tawny-fly
  • 57 Slides

One-bit Compressive . Sensing. 张利军. 南京...

Local Computation of PageRank Contributions

Local Computation of PageRank Contributions

  • ellena-manuel
  • 32 Slides

Reid Andersen, Christian . Borgs. , Jennifer . Ch...

Distributed Vehicle Routing Approximation

Distributed Vehicle Routing Approximation

  • lois-ondreau
  • 33 Slides

Akhil. Krishnan Mikhail Markov . Borzoo. . Bon...

Improved Approximation for the Directed Spanner Problem

Improved Approximation for the Directed Spanner Problem

  • stefany-barnette
  • 20 Slides

Grigory. . Yaroslavtsev. . Penn State + AT&...

Fast Fourier

Fast Fourier

  • ellena-manuel
  • 16 Slides

Sparsity. Testing over the Boolean Hypercube. Gr...

Submodular

Submodular

  • lois-ondreau
  • 22 Slides

Dictionary Selection. for Sparse Representation....

Use the Linear Approximation to estimate

Use the Linear Approximation to estimate

  • mitsue-stanley
  • 15 Slides

How accurate is your estimate?. Differential Nota...

Speeding Up MWU Based Approximation Schemes

Speeding Up MWU Based Approximation Schemes

  • olivia-moreira
  • 31 Slides

and . Some Applications. Chandra . Chekuri. Univ....

Noisy Sparse Subspace Clustering with dimension reduction

Noisy Sparse Subspace Clustering with dimension reduction

  • alexa-scheidler
  • 19 Slides

Yining Wang. , Yu-Xiang Wang, . Aarti. Singh. Ma...

Scaling Distributed Machine Learning with the Parameter Ser

Scaling Distributed Machine Learning with the Parameter Ser

  • stefany-barnette
  • 25 Slides

By M. Li, D. Anderson, J. Park, A. . Smola. , A. ...

Cross-scale Predictive Dictionaries for Image and Video Res

Cross-scale Predictive Dictionaries for Image and Video Res

  • yoshiko-marsland
  • 33 Slides

(Paper ID: 2314). Vishwanath Saragadam,. . Aswin...

Structured

Structured

  • natalia-silvester
  • 22 Slides

sparse acoustic modeling for speech separation. A...

Measurement and Instrumentation

Measurement and Instrumentation

  • myesha-ticknor
  • 38 Slides

Dr. . Tayab . Din Memon. . Assistant Professor...

Signal-Specialized Parameterization for Piecewise Linear Re

Signal-Specialized Parameterization for Piecewise Linear Re

  • conchita-marotz
  • 36 Slides

Geetika Tewari, Harvard University. John Snyder, ...

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