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» Experimental Design for Variable Selection in Data Bases
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ICIP
2007
IEEE
16 years 8 months ago
Lossless Image Compression and Selective Encryption using a Discrete Radon Transform
In this paper we propose a new joint encryption and lossless compression technique designed for large images 1 . The proposed technique takes advantage of the Mojette transform pr...
Andrew Kingston, Simone Colosimo, Patrizio Campisi...
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
16 years 11 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
AIEDAM
1998
87views more  AIEDAM 1998»
15 years 6 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
SIGMOD
2008
ACM
214views Database» more  SIGMOD 2008»
16 years 6 months ago
A graph method for keyword-based selection of the top-K databases
While database management systems offer a comprehensive solution to data storage, they require deep knowledge of the schema, as well as the data manipulation language, in order to...
Quang Hieu Vu, Beng Chin Ooi, Dimitris Papadias, A...
WWW
2004
ACM
16 years 6 months ago
Remindin': semantic query routing in peer-to-peer networks based on social metaphors
In peer-to-peer networks, finding the appropriate answer for an information request, such as the answer to a query for RDF(S) data, depends on selecting the right peer in the netw...
Christoph Tempich, Steffen Staab, Adrian Wranik