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» From Margin to Sparsity
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ICCV
2011
IEEE
12 years 7 months ago
Feature Seeding for Action Recognition
Progress in action recognition has been in large part due to advances in the features that drive learning-based methods. However, the relative sparsity of training data and the ri...
Pyry Matikainen, Rahul Sukthankar, Martial Hebert
JSC
2006
52views more  JSC 2006»
13 years 7 months ago
Markov bases of three-way tables are arbitrarily complicated
We show the following two universality statements on the entry-ranges and Markov bases of spaces of 3-way contingency tables with fixed 2-margins: (1) For any finite set D of nonn...
Jesús A. De Loera, Shmuel Onn
DATE
2010
IEEE
109views Hardware» more  DATE 2010»
14 years 22 days ago
TIMBER: Time borrowing and error relaying for online timing error resilience
Increasing dynamic variability with technology scaling has made it essential to incorporate large design-time timing margins to ensure yield and reliable operation. Online techniq...
Mihir R. Choudhury, Vikas Chandra, Kartik Mohanram...
ACL
2009
13 years 5 months ago
Brutus: A Semantic Role Labeling System Incorporating CCG, CFG, and Dependency Features
We describe a semantic role labeling system that makes primary use of CCG-based features. Most previously developed systems are CFG-based and make extensive use of a treepath feat...
Stephen A. Boxwell, Dennis Mehay, Chris Brew
CVPR
2011
IEEE
13 years 5 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li