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CIKM
2010
Springer
15 years 4 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
DAC
2006
ACM
16 years 7 months ago
Design automation for DNA self-assembled nanostructures
DNA self-assembly is an emerging technology with potential as a future replacement of conventional lithographic fabrication. A key challenge is the specification of appropriate DN...
Constantin Pistol, Alvin R. Lebeck, Chris Dwyer
TIP
2011
124views more  TIP 2011»
15 years 1 months ago
A Geometric Method for Optimal Design of Color Filter Arrays
—A color filter array (CFA) used in a digital camera is a mosaic of spectrally selective filters, which allows only one color component to be sensed at each pixel. The missing ...
Pengwei Hao, Yan Li, Zhouchen Lin, Eric Dubois
ICCD
2000
IEEE
135views Hardware» more  ICCD 2000»
16 years 3 months ago
A Methodology and Tool for Automated Transformational High-Level Design Space Exploration
el of abstraction by integrating a high-level estimation step. This results in a design loop which is tight led on high level of abstraction (called estimation loop in figure 1). ...
Joachim Gerlach, Wolfgang Rosenstiel
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
16 years 27 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