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...
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...
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...
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...
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...