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sparse model published presentations and documents on DocSlides.

The Horseshoe Estimator for Sparse Signals
The Horseshoe Estimator for Sparse Signals
by lois-ondreau
Reading Group Presenter:. Zhen . Hu. Cognitive Ra...
Structured sparse acoustic modeling for speech separation
Structured sparse acoustic modeling for speech separation
by maisie
Afsaneh . Asaei. Joint work with: . Mohammad . Gol...
Sparse Euclidean projections
Sparse Euclidean projections
by lindy-dunigan
onto convex sets. Volkan. Cevher. Laboratory. f...
The Analysis (Co-)Sparse Model
The Analysis (Co-)Sparse Model
by ellena-manuel
Origin, Definition, Pursuit, Dictionary-Learning ...
The Analysis (Co-)Sparse Model
The Analysis (Co-)Sparse Model
by stefany-barnette
Origin, Definition, and Pursuit. Michael Elad. ...
Model-based
Model-based
by cheryl-pisano
Compressive. Sensing. Volkan . Cevher. volkan@ric...
Combinatorial Selection and
Combinatorial Selection and
by tatiana-dople
Least Absolute Shrinkage via . The . CLASH. Oper...
Sensing via Dimensionality Reduction
Sensing via Dimensionality Reduction
by cheryl-pisano
Structured Sparsity Models. Volkan Cevher. volkan...
The horseshoe estimator for sparse signals
The horseshoe estimator for sparse signals
by liane-varnes
CARLOS M. . CARVALHO. NICHOLAS . G. . POLSON. JAM...
Vardan Papyan
Vardan Papyan
by stefany-barnette
The Computer Science Department. Technion. – I...
Fast Dynamic magnetic resonance imaging using linear dynamical system model
Fast Dynamic magnetic resonance imaging using linear dynamical system model
by hysicser
Vimal Singh, . Ahmed H. Tewfik. The University of ...
Extended Sparse Linear Model for Face Recognition
Extended Sparse Linear Model for Face Recognition
by lois-ondreau
Weihong Deng (. 邓伟洪. ). Beijing Univ. Post....
An Adaptive Sublinear-Time
An Adaptive Sublinear-Time
by dandy
Block Sparse Fourier Transform. Volkan. . Cevher....
Patch-based Image Deconvolution via Joint Modeling of Spars
Patch-based Image Deconvolution via Joint Modeling of Spars
by faustina-dinatale
Chao . Jia. and Brian L. Evans. The University o...
A Multipath Sparse Beamforming Method
A Multipath Sparse Beamforming Method
by pasty-toler
Afsaneh Asaei . Joint work with: . baran. . göz...
Multivariate Dyadic Regression Trees for Sparse Learning Pr
Multivariate Dyadic Regression Trees for Sparse Learning Pr
by test
Xi Chen. Machine Learning Department. Carnegie Me...
Short-course
Short-course
by cheryl-pisano
Compressive Sensing of Videos. Venue. CVPR 2012, ...
The Landscape of Sparse Ax=b Solvers
The Landscape of Sparse Ax=b Solvers
by test
Direct. A = LU. Iterative. y. ’. = Ay. Non-. s...
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
by kittie-lecroy
illinoisedu kyusvneclabscom Abstract Sparse coding...
K-SVD Dictionary-Learning for
K-SVD Dictionary-Learning for
by phoebe-click
Analysis . Sparse Models. Michael Elad. ...
Unwrap Mosaics:
Unwrap Mosaics:
by tatiana-dople
A . new representation for video editing. Alex . ...
Learning Non-Parametric Basis Independent Models from Point
Learning Non-Parametric Basis Independent Models from Point
by yoshiko-marsland
Volkan. Cevher. Laboratory. for Information and...
Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the
Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the
by zoe
George Chen, . Evelina. . Fedorenko. , Nancy . Ka...
Predicting Alzheimer’s disease: A neuroimaging study with 3D convolutional neural networks
Predicting Alzheimer’s disease: A neuroimaging study with 3D convolutional neural networks
by madison
Kannan . Neten. Dharan. Introduction . Alzheimerâ...
Logistic Regression & Elastic Net
Logistic Regression & Elastic Net
by aaron
Weifeng Li and . Hsinchun. Chen. Credits: Hui Zo...
Structured
Structured
by natalia-silvester
sparse acoustic modeling for speech separation. A...
Scaling Distributed Machine Learning with the Parameter Ser
Scaling Distributed Machine Learning with the Parameter Ser
by stefany-barnette
By M. Li, D. Anderson, J. Park, A. . Smola. , A. ...
Mike E. Davies
Mike E. Davies
by danika-pritchard
University . of Edinburgh – . Scotland. Remi. ...
Zhilin
Zhilin
by marina-yarberry
. Zhang, . Bhaskar. D. . Rao. University of Cal...
Using random models in derivative free optimization
Using random models in derivative free optimization
by trish-goza
Katya Scheinberg. Lehigh University. (mainly base...
Sparse
Sparse
by olivia-moreira
Modeling of ...
Deformation-Invariant Sparse Coding for Modeling Spatial Va
Deformation-Invariant Sparse Coding for Modeling Spatial Va
by mitsue-stanley
George Chen, . Evelina. . Fedorenko. , Nancy . K...
Sparse deep belief net model for visual area V Honglak
Sparse deep belief net model for visual area V Honglak
by natalia-silvester
Ng Computer Science Department Stanford Universit...
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
by alexa-scheidler
nyuedu Abstract We describe a novel unsupervised m...
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
by marina-yarberry
Ng Computer Science Department Stanford Universit...