A concave regularization technique for sparse mixture models Martin Larsson School of Operations Research and Information Engineering Cornell University

Source URL: papers.nips.cc

• Statistical natural language processing
• Probability distributions
• Latent Dirichlet allocation
• Probabilistic latent semantic analysis
• Expectationmaximization algorithm
• Dirichlet distribution
• Distribution
• Object categorization from image search

Training sparse natural image models with a fast Gibbs sampler of an extended state space Lucas Theis1, Jascha Sohl-Dickstein2, Matthias Bethge1,3,4 1 Werner 2 Redwood Center for Theoretical Neuroscience, Berkeley

Source URL: bethgelab.org

Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks Varun Jampani1 , Martin Kiefel1,2 and Peter V. Gehler1,2 Max Planck Institute for Intelligent Systems, T¨ubingen, 72076

Source URL: files.is.tue.mpg.de

Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation Julien Mairal1 Marius Leordeanu2 Francis Bach1 Martial Hebert2 Jean Ponce1,3 1

Source URL: lear.inrialpes.fr

CLASS PROJECT FOR EE225B (SPRING 2006), UNIVERSITY OF CALIFORNIA-BERKELEY 1 Sparse Signal Representation: Image Compression using Sparse Bayesian Learning

Source URL: www.ericbattenberg.com

• Statistics
• Signal processing
• Mathematical analysis
• Probability
• Multivariate statistics
• Numerical linear algebra
• Sparse approximation
• Wavelet
• Filter bank
• Normal distribution
• Matching pursuit
• Linear algebra

Normal Estimation for Pointcloud using GPU based Sparse Tensor Voting Ming Liu, Franc¸ois Pomerleau, Francis Colas, Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland [ming.liu, francois.pomerleau, francis.

Source URL: ram-lab.com

• Dimension reduction
• Multivariate statistics
• Image segmentation
• Multilinear algebra
• Tensor
• General-purpose computing on graphics processing units
• Principal component analysis
• K-nearest neighbors algorithm
• Range segmentation

IASC2008: December 5-8, Yokohama, Japan Sparse learned representations for image restoration Julien Mairal1 1

Source URL: lear.inrialpes.fr

Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation Julien Mairal1,4 , Marius Leordeanu2 , Francis Bach1,4 , Martial Hebert2 , and Jean Ponce3,4 1

Source URL: lear.inrialpes.fr

Noname manuscript No. (will be inserted by the editor) Learning Sparse FRAME Models for Natural Image Patterns Jianwen Xie · Wenze Hu · Song-Chun Zhu · Ying Nian Wu

Source URL: www.stat.ucla.edu

MULTISCALE SPARSE IMAGE REPRESENTATION WITH LEARNED DICTIONARIES Julien Mairal and Guillermo Sapiro Michael Elad Department of Electrical and Computer Engineering

Source URL: lear.inrialpes.fr