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» Modeling Problem Transformations based on Data Complexity
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FOCS
2000
IEEE
15 years 11 months ago
Extracting Randomness from Samplable Distributions
Randomness extractors convert weak sources of randomness into an almost uniform distribution; the conversion uses a small amount of pure randomness. In algorithmic applications, t...
Luca Trevisan, Salil P. Vadhan
TCAD
2008
183views more  TCAD 2008»
15 years 6 months ago
Systematic and Automated Multiprocessor System Design, Programming, and Implementation
Abstract--For modern embedded systems in the realm of highthroughput multimedia, imaging, and signal processing, the complexity of embedded applications has reached a point where t...
Hristo Nikolov, Todor Stefanov, Ed F. Deprettere
ASE
2006
106views more  ASE 2006»
15 years 6 months ago
Integrating COTS Software into Systems through Instrumentation and Reasoning
Commercial-off-the-shelf (COTS) software tends to be cheap, reliable, and functionally powerful due to its large user base. It has thus become highly desirable to incorporate COTS ...
Alexander Egyed, Robert Balzer
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
RAID
2010
Springer
15 years 4 months ago
CANVuS: Context-Aware Network Vulnerability Scanning
Enterprise networks face a variety of threats including worms, viruses, and DDoS attacks. Development of effective defenses against these threats requires accurate inventories of n...
Yunjing Xu, Michael Bailey, Eric Vander Weele, Far...