'Sparse coding' presentation slideshows

Sparse Representation for Image Reconstruction, and Face Recognition?

Sparse Representation for Image Reconstruction, and Face Recognition?. Lei Zhang Dept. of Computing The Hong Kong Polytechnic University http://www.comp.polyu.edu.hk/~cslzhang. My Recent Research Focus. Sparse Representation and Low Rank Image Reconstruction/Restoration

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878 views • 74 slides

Latent Variable / Hierarchical Models in Computational Neural Science Ying Nian Wu

Latent Variable / Hierarchical Models in Computational Neural Science Ying Nian Wu UCLA Department of Statistics March 30, 2011. Outline Latent variable models in statistics Primary visual cortex (V1) Modeling and learning in V1 Layered hierarchical models

607 views • 48 slides

Shrishail S. Gajbhar 201121016

Compression of facial images using the K-SVD algorithm Ori Bryt , Michael Elad, JVCIR, Elsevier, 2008. Shrishail S. Gajbhar 201121016. What are the principles behind compression?. Two fundamental components of compression are redundancy and irrelevancy reduction.

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Extensions of Non-negative Matrix Factorization to Higher Order data

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427 views • 26 slides

Presented by: Mingyuan Zhou Duke University, ECE June 17, 2011

An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates, Honglak Lee and Andrew Y. Ng AISTATS 2011 The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization Adam Coates and Andrew Y. Ng ICML 2011. Presented by: Mingyuan Zhou

235 views • 23 slides

Seung-Hoon Lee, Uichin Lee, Kang-won Lee*, Mario Gerla University of California, Los Angeles

Content Distribution in VANETs using Network Coding: The Effect of Disk I/O and Processing O/H. Seung-Hoon Lee, Uichin Lee, Kang-won Lee*, Mario Gerla University of California, Los Angeles IBM T. J. Watson Research Center*. Content Distribution in Vehicular Ad-Hoc Networks (VANETs).

330 views • 19 slides

Audiovisual Event Detection & Recognition

Audiovisual Event Detection & Recognition. Audiovisual speech recognition Manifold Discriminant Features Fusion using boosted combination of DBNs TRECVid and PASCAL Competitions, 2009 GMM supervector normalizes inter-session variability

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Online Learning for Matrix Factorization and Sparse Coding

Online Learning for Matrix Factorization and Sparse Coding. Julien Mairal, Francis Bach, Jean Ponce and Guillermo Sapiro Journal of Machine Learning Research 2010. Introduction. This paper focuses on the large scale matrix factorization problem, including Dictionary learning for sparse coding

443 views • 15 slides

Sparselet Models for Efficient Multiclass Object Detection

Sparselet Models for Efficient Multiclass Object Detection. Present by Guilin Liu. Key Idea. Use sparse coding of part filters to represent each filter as a sparse linear combination of shared dictionary elements.

294 views • 14 slides

How Fast is a Brain?

How Fast is a Brain?. With 1 electrode, you can only tell the time of the action potential, and (sometimes) the type of neuron that generated that action potential. With two electrodes, you can also measure the speed of the action potential.

243 views • 11 slides

Sparse Matrix Factorizations for Hyperspectral Unmixing

Sparse Matrix Factorizations for Hyperspectral Unmixing. John Wright Visual Computing Group Microsoft Research Asia. Sept . 30 , 2010. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A A A A A A A. Problem setting.

207 views • 7 slides

Motion Representation in Cerebral palsy

Motion Representation in Cerebral palsy. Kibeom youn. Motion basis using Sparse coding. Each basis represents each disease. Regression between preop and postop Predict surgery result.

90 views • 3 slides