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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
16 years 22 days ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
IEEEPACT
1998
IEEE
15 years 10 months ago
A Matrix-Based Approach to the Global Locality Optimization Problem
Global locality analysis is a technique for improving the cache performance of a sequence of loop nests through a combination of loop and data layout optimizations. Pure loop tran...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
LREC
2010
193views Education» more  LREC 2010»
15 years 8 months ago
DiSCo - A German Evaluation Corpus for Challenging Problems in the Broadcast Domain
Typical broadcast material contains not only studio-recorded texts read by trained speakers, but also spontaneous and dialect speech, debates with cross-talk, voice-overs, and on-...
Doris Baum, Daniel Schneider, Rolf Bardeli, Jochen...
WEBI
2010
Springer
15 years 4 months ago
Reducing the Cold-Start Problem in Content Recommendation through Opinion Classification
Like search engines, recommender systems have become a tool that cannot be ignored by websites with a large selection of products, music, news or simply webpages links. The perform...
Damien Poirier, Françoise Fessant, Isabelle...
ICASSP
2011
IEEE
14 years 10 months ago
Secure video processing: Problems and challenges
Secure signal processing is an emerging technology to enable signal processing tasks in a secure and privacy-preserving fashion. It has attracted a great amount of research attent...
Wenjun Lu, Avinash L. Varna, Min Wu