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Approximation Sparse published presentations and documents on DocSlides.

Axilog

Axilog

  • myesha-ticknor
  • 32 Slides

: Language Support for Approximate Hardware Desig...

Approximating Euler Paths

Approximating Euler Paths

  • alexa-scheidler
  • 8 Slides

When an Euler path is impossible, we can get an a...

A Multipath Sparse Beamforming Method

A Multipath Sparse Beamforming Method

  • pasty-toler
  • 27 Slides

Afsaneh Asaei . Joint work with: . baran. . göz...

Equation for the microwave backscatter cross section of agg

Equation for the microwave backscatter cross section of agg

  • min-jolicoeur
  • 14 Slides

Gans. Approximation. Robin . Hogan . ECMWF and D...

Similarity Search in Visual Data

Similarity Search in Visual Data

  • karlyn-bohler
  • 56 Slides

Ph.D. Thesis Defense. Anoop Cherian. *. Departmen...

Linear Program

Linear Program

  • karlyn-bohler
  • 53 Slides

. Set Cover. Set Cover. Given. a universe . U ....

On the Minimum

On the Minimum

  • liane-varnes
  • 35 Slides

Node and Edge Searching . Spanning Tree . Problem...

Sparse

Sparse

  • mitsue-stanley
  • 29 Slides

Recovery. . (. Using . Sparse. . Matrices). Pio...

Single Image Super-Resolution Using Sparse Representation

Single Image Super-Resolution Using Sparse Representation

  • jane-oiler
  • 30 Slides

. Michael Elad. The Computer Science Department....

Sparse

Sparse

  • olivia-moreira
  • 56 Slides

Modeling of ...

MA-250 Probability and Statistics

MA-250 Probability and Statistics

  • danika-pritchard
  • 28 Slides

Nazar. Khan. PUCIT. Lecture . 7. Regression. For...

PRIMAL-DUAL APPROXIMATION ALGORITHMS FOR METRIC FACILITY LO

PRIMAL-DUAL APPROXIMATION ALGORITHMS FOR METRIC FACILITY LO

  • alexa-scheidler
  • 22 Slides

AND K-MEDIAN PROBLEMS. K. Jain ...

First-principles calculation of electronic properties of YB

First-principles calculation of electronic properties of YB

  • lois-ondreau
  • 30 Slides

2. Cu. 3. O. 6+. y . by using the self-interactio...

Prasad

Prasad

  • marina-yarberry
  • 96 Slides

Raghavendra. University of Washington. Seattle . ...

(near)P(in)F(s)=!kBTln

(near)P(in)F(s)=!kBTln

  • giovanna-bartolotta
  • 100 Slides

TyRigid rotor/ harmonic approximation is well know...

IMPORTANCE AS A PEST ON PLUM:

IMPORTANCE AS A PEST ON PLUM:

  • yoshiko-marsland
  • 100 Slides

OTHER FRUIT HOSTS: INFO SYMPTOMS: Sparse, yellowin...

On the Power of

On the Power of

  • stefany-barnette
  • 16 Slides

Adaptivity. in Sparse Recovery. Piotr. . Indyk....

Lecture 20

Lecture 20

  • pasty-toler
  • 27 Slides

Helium and heavier atoms. (c) So Hirata, Departme...

Consider the following:

Consider the following:

  • test
  • 28 Slides

. Now, use the reciprocal function and tangent l...

Approximation Algorithms

Approximation Algorithms

  • danika-pritchard
  • 82 Slides

Guo QI, Chen Zhenghai, Wang Guanhua, Shen Shiqi, ...

Fanwei Zhu, Yuan Fang, Kevin Chang, Jing Ying

Fanwei Zhu, Yuan Fang, Kevin Chang, Jing Ying

  • debby-jeon
  • 13 Slides

Zhejiang University. University of Illinois at Ur...

Lower Bounds

Lower Bounds

  • faustina-dinatale
  • 56 Slides

in Greedy Model. Sashka Davis. Advised by Russell...

Compressed Sensing

Compressed Sensing

  • natalia-silvester
  • 77 Slides

Compressed Sensing. Mobashir. . Mohammad. Aditya...

An Introduction to Compressed Sensing

An Introduction to Compressed Sensing

  • jane-oiler
  • 34 Slides

Student : . Shenghan. TSAI. Advisor : . Hsuan. -...

Compressive Sensing:

Compressive Sensing:

  • kittie-lecroy
  • 36 Slides

An Introduction and Survey of Applications. Obje...

Alissa M.

Alissa M.

  • olivia-moreira
  • 13 Slides

Stafford. Mentor: Alex . Cloninger. Directed Read...

Model-based

Model-based

  • cheryl-pisano
  • 41 Slides

Compressive. Sensing. Volkan . Cevher. volkan@ric...

Binomial setting and distributions

Binomial setting and distributions

  • karlyn-bohler
  • 20 Slides

Binomial distributions. are models for some cate...

A Nearly Optimal Algorithm for Approximating Replacement Pa

A Nearly Optimal Algorithm for Approximating Replacement Pa

  • danika-pritchard
  • 16 Slides

Abhilasha Seth. CSCE 669. Replacement Paths. G = ...

PHYS 408

PHYS 408

  • tatyana-admore
  • 5 Slides

Applied Optics . (Lecture 20). Jan-April 2016 Edi...

Learning From Chris Dyer Group

Learning From Chris Dyer Group

  • calandra-battersby
  • 20 Slides

Chao Xing. CSLT Tsinghua. Why?. Chris Dyer. grou...

Possibilities and Limitations in Computation

Possibilities and Limitations in Computation

  • calandra-battersby
  • 15 Slides

Dana . Moshkovitz. Computation. is Everywhere Th...

Embedding and Sketching

Embedding and Sketching

  • pasty-toler
  • 20 Slides

Sketching. for streaming. Alexandr. . Andoni. ...

The finite element method- a review

The finite element method- a review

  • ellena-manuel
  • 63 Slides

By . S . Ziaei-Rad. Mechanical Engineering Depart...

Efficient Parallelization of Path Planning Workload

Efficient Parallelization of Path Planning Workload

  • conchita-marotz
  • 30 Slides

on Single-chip Shared-memory Multicores. Masab. ...

Creating Probabilistic Databases

Creating Probabilistic Databases

  • stefany-barnette
  • 40 Slides

from. IE Models . Olga . Mykytiuk. , 21 July 20...

1 Monte-Carlo Planning:

1 Monte-Carlo Planning:

  • myesha-ticknor
  • 78 Slides

Basic Principles and Recent Progress. Most slides...

Parallelizable Algorithms for the Selection of Grouped

Parallelizable Algorithms for the Selection of Grouped

  • cheryl-pisano
  • 20 Slides

Gonzalo . Mateos. , Juan A. Bazerque, and . Georg...

Using random models in derivative free optimization

Using random models in derivative free optimization

  • trish-goza
  • 78 Slides

Katya Scheinberg. Lehigh University. (mainly base...

Optical phantoms mimicking spectral properties of laborator

Optical phantoms mimicking spectral properties of laborator

  • pasty-toler
  • 13 Slides

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

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