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Learning With Dynamic Group Sparsity

Learning With Dynamic Group Sparsity

  • celsa-spraggs
  • 25 Slides

. Junzhou. Huang . Xiaolei. Huang ...

Learning With Dynamic Group Sparsity

Learning With Dynamic Group Sparsity

  • stefany-barnette
  • 25 Slides

. Junzhou. Huang . Xiaolei. Huang ...

Learning with Structured

Learning with Structured

  • mitsue-stanley
  • 31 Slides

Sparsity. Authors:. Junzhou. Huang, Tong Zhang, ...

ALTERNATE LAYER SPARSITY & INTERMEDIATE FINE-TUNING FOR

ALTERNATE LAYER SPARSITY & INTERMEDIATE FINE-TUNING FOR

  • alida-meadow
  • 41 Slides

Submitted by: Supervised by:. Ankit. . Bhutani...

Analysis of Sparse Convolutional Neural Networks

Analysis of Sparse Convolutional Neural Networks

  • min-jolicoeur
  • 20 Slides

Sabareesh Ganapathy. Manav Garg. Prasanna. . Ven...

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...

Structured

Structured

  • natalia-silvester
  • 22 Slides

sparse acoustic modeling for speech separation. A...

New hardware architectures for efficient deep net processing

New hardware architectures for efficient deep net processing

  • elina
  • 23 Slides

SCNN: An Accelerator for Compressed-sparse Convolu...

Structured sparse acoustic modeling for speech separation

Structured sparse acoustic modeling for speech separation

  • maisie
  • 22 Slides

Afsaneh . Asaei. Joint work with: . Mohammad . Gol...

Blind Deconvolution Using a Normalized Sparsity Measure Dilip Krishnan Courant Institute New York University dilipcs

Blind Deconvolution Using a Normalized Sparsity Measure Dilip Krishnan Courant Institute New York University dilipcs

  • cheryl-pisano
  • 8 Slides

nyuedu Terence Tay Chatham Digital ttaychathamdigi...

Recovering Intrinsic Images with a Global Sparsity Prior on Reectance Peter Vincent Gehler Max Planck Institut for Informatics pgehlermpii

Recovering Intrinsic Images with a Global Sparsity Prior on Reectance Peter Vincent Gehler Max Planck Institut for Informatics pgehlermpii

  • mitsue-stanley
  • 9 Slides

de Carsten Rother Microsoft Research Cambridge car...

Enhancing Sparsity by Reweighted Minimization Emmanuel J

Enhancing Sparsity by Reweighted Minimization Emmanuel J

  • trish-goza
  • 29 Slides

Candes Michael B Wakin Stephen P Boyd Applied and...

Applying Associative Retrieval Techniques to Alleviate the Sparsity Problem in Collaborative Filtering ZAN HUANG HSINCHUN CHEN and DANIEL ZENG The University of Arizona Recommender systems are being

Applying Associative Retrieval Techniques to Alleviate the Sparsity Problem in Collaborative Filtering ZAN HUANG HSINCHUN CHEN and DANIEL ZENG The University of Arizona Recommender systems are being

  • min-jolicoeur
  • 27 Slides

Collaborative 64257ltering the most success ful r...

Sharing Features Between Visual Tasks at Different Levels o

Sharing Features Between Visual Tasks at Different Levels o

  • giovanna-bartolotta
  • 11 Slides

Sung . Ju. Hwang. 1. , . Fei. Sha. 2. and Kris...

The Analysis (Co-)Sparse Model

The Analysis (Co-)Sparse Model

  • ellena-manuel
  • 71 Slides

Origin, Definition, Pursuit, Dictionary-Learning ...

Group

Group

  • faustina-dinatale
  • 21 Slides

Sparsity. and Geometry Constrained Dictionary Le...

The Analysis (Co-)Sparse Model

The Analysis (Co-)Sparse Model

  • stefany-barnette
  • 30 Slides

Origin, Definition, and Pursuit. Michael Elad. ...

Fast Fourier

Fast Fourier

  • pamella-moone
  • 21 Slides

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

Sensing via Dimensionality Reduction

Sensing via Dimensionality Reduction

  • cheryl-pisano
  • 80 Slides

Structured Sparsity Models. Volkan Cevher. volkan...

Sparse

Sparse

  • olivia-moreira
  • 56 Slides

Modeling of ...

Sparsity and Saliency

Sparsity and Saliency

  • stefany-barnette
  • 40 Slides

Xiaodi. . Hou. K-Lab, Computation and Neural Sys...

Vardan Papyan

Vardan Papyan

  • stefany-barnette
  • 54 Slides

The Computer Science Department. Technion. – I...

Sparse Euclidean projections

Sparse Euclidean projections

  • lindy-dunigan
  • 55 Slides

onto convex sets. Volkan. Cevher. Laboratory. f...

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....

Sharing Features Between Objects and Their Attributes

Sharing Features Between Objects and Their Attributes

  • lois-ondreau
  • 0 Slides

Sung . Ju. Hwang. 1. , . Fei. Sha. 2. and Kris...

Matrix Extensions to Sparse Recovery

Matrix Extensions to Sparse Recovery

  • aaron
  • 0 Slides

Yi Ma. 1,2. . Allen Yang. 3. John . Wrigh...

Mike West Duke University

Mike West Duke University

  • briana-ranney
  • 0 Slides

ISBA Lecture on Bayesian Foundations ...

General Paediatrics 1 Fabrizio Pecoraro

General Paediatrics 1 Fabrizio Pecoraro

  • shangmaxi
  • 25 Slides

The quality of child healthcare: . a comparison am...

General Paediatrics 1 Fabrizio Pecoraro

General Paediatrics 1 Fabrizio Pecoraro

  • disclaimercanon
  • 25 Slides

The quality of child healthcare: . a comparison am...

Hyperspectral Image DE noising

Hyperspectral Image DE noising

  • easyho
  • 78 Slides

Presented to you by :. ebraheem kashkosh . Samer S...

Fourier sparsity , spectral norm

Fourier sparsity , spectral norm

  • camstarmy
  • 39 Slides

, and the. . Log-rank conjecture. arXiv. :1304.12...

Wearable EMG System with Signal Compression and Decompression

Wearable EMG System with Signal Compression and Decompression

  • pamela
  • 16 Slides

Related reading: Effective . Low-Power Wearable . ...

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