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» Forcing a sparse minor
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EGH
2009
Springer
13 years 7 months ago
Efficient stream compaction on wide SIMD many-core architectures
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. This allows highly parallel algorithms to maintain performance over several proce...
Markus Billeter, Ola Olsson, Ulf Assarsson
ICML
2009
IEEE
14 years 10 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
EUROCRYPT
2009
Springer
14 years 10 months ago
Resettably Secure Computation
Abstract. The notion of resettable zero-knowledge (rZK) was introduced by Canetti, Goldreich, Goldwasser and Micali (FOCS'01) as a strengthening of the classical notion of zer...
Vipul Goyal, Amit Sahai
VISUALIZATION
2005
IEEE
14 years 3 months ago
Exploring 2D Tensor Fields Using Stress Nets
In this article we describe stress nets, a technique for exploring 2D tensor fields. Our method allows a user to examine simultaneously the tensors' eigenvectors (both major ...
Andrew Wilson, Rebecca M. Brannon
BMCBI
2010
114views more  BMCBI 2010»
13 years 10 months ago
An integrative modular approach to systematically predict gene-phenotype associations
Background: Complex human diseases are often caused by multiple mutations, each of which contributes only a minor effect to the disease phenotype. To study the basis for these com...
Michael R. Mehan, Juan Nunez-Iglesias, Chao Dai, M...