Sciweavers

273 search results - page 10 / 55
» Learning the Structure of Deep Sparse Graphical Models
Sort
View
DCC
2000
IEEE
14 years 1 months ago
The Skip-Innovation Model for Sparse Images
On sparse images, contiguous runs of identical symbols often occur in the same coding context. This paper proposes a model for efficiently encoding such runs in a twodimensional s...
Paul J. Ausbeck Jr.
ITC
2003
IEEE
126views Hardware» more  ITC 2003»
14 years 1 months ago
Deformations of IC Structure in Test and Yield Learning
This paper argues that the existing approaches to modeling and characterization of IC malfunctions are inadequate for test and yield learning of Deep Sub-Micron (DSM) products. Tr...
Wojciech Maly, Anne E. Gattiker, Thomas Zanon, Tho...
AGI
2011
13 years 9 days ago
Systematically Grounding Language through Vision in a Deep, Recurrent Neural Network
Human intelligence consists largely of the ability to recognize and exploit structural systematicity in the world, relating our senses simultaneously to each other and to our cogni...
Derek Monner, James A. Reggia
CCIW
2011
Springer
13 years 8 days ago
On the Application of Structured Sparse Model Selection to JPEG Compressed Images
The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...
Giovanni Maria Farinella, Sebastiano Battiato
ICML
2010
IEEE
13 years 9 months ago
Multi-Task Learning of Gaussian Graphical Models
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
Jean Honorio, Dimitris Samaras