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The Horseshoe Estimator for Sparse Signals
The Horseshoe Estimator for Sparse Signals
by lois-ondreau
Reading Group Presenter:. Zhen . Hu. Cognitive Ra...
Sparse Euclidean projections
Sparse Euclidean projections
by lindy-dunigan
onto convex sets. Volkan. Cevher. Laboratory. f...
Structured sparse acoustic modeling for speech separation
Structured sparse acoustic modeling for speech separation
by maisie
Afsaneh . Asaei. Joint work with: . Mohammad . Gol...
Model-based
Model-based
by cheryl-pisano
Compressive. Sensing. Volkan . Cevher. volkan@ric...
The Analysis (Co-)Sparse Model
The Analysis (Co-)Sparse Model
by stefany-barnette
Origin, Definition, and Pursuit. Michael Elad. ...
The Analysis (Co-)Sparse Model
The Analysis (Co-)Sparse Model
by ellena-manuel
Origin, Definition, Pursuit, Dictionary-Learning ...
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 ...
Vardan Papyan
Vardan Papyan
by stefany-barnette
The Computer Science Department. Technion. – I...
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...
Short-course
Short-course
by cheryl-pisano
Compressive Sensing of Videos. Venue. CVPR 2012, ...
K-SVD Dictionary-Learning for
K-SVD Dictionary-Learning for
by phoebe-click
Analysis . Sparse Models. Michael Elad. ...
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...
The Landscape of Sparse Ax=b Solvers
The Landscape of Sparse Ax=b Solvers
by test
Direct. A = LU. Iterative. y. ’. = Ay. Non-. s...
A Multipath Sparse Beamforming Method
A Multipath Sparse Beamforming Method
by pasty-toler
Afsaneh Asaei . Joint work with: . baran. . göz...
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....
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...
An Adaptive Sublinear-Time
An Adaptive Sublinear-Time
by dandy
Block Sparse Fourier Transform. Volkan. . Cevher....
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...
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...
Unwrap Mosaics:
Unwrap Mosaics:
by tatiana-dople
A . new representation for video editing. Alex . ...
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...
Sparse
Sparse
by olivia-moreira
Modeling of ...
Using random models in derivative free optimization
Using random models in derivative free optimization
by trish-goza
Katya Scheinberg. Lehigh University. (mainly base...
Zhilin
Zhilin
by marina-yarberry
. Zhang, . Bhaskar. D. . Rao. University of Cal...
Mike E. Davies
Mike E. Davies
by danika-pritchard
University . of Edinburgh – . Scotland. Remi. ...
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. ...
Structured
Structured
by natalia-silvester
sparse acoustic modeling for speech separation. A...
Logistic Regression & Elastic Net
Logistic Regression & Elastic Net
by aaron
Weifeng Li and . Hsinchun. Chen. Credits: Hui Zo...
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...
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...