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ET
2007
101views more  ET 2007»
13 years 8 months ago
Towards Nanoelectronics Processor Architectures
In this paper, we focus on reliability, one of the most fundamental and important challenges, in the nanoelectronics environment. For a processor architecture based on the unreliab...
Wenjing Rao, Alex Orailoglu, Ramesh Karri
ECML
2006
Springer
14 years 14 days ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 3 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
CVPR
2012
IEEE
11 years 11 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
CDC
2009
IEEE
170views Control Systems» more  CDC 2009»
14 years 1 months ago
Adaptive constraint-filtering method and its application to GPS positioning
—To deal with the estimation problem for systems subject to constraints while the corresponding noise processes are not completely known, the adaptive constraint-filtering method...
Tsai-Hsin Chang, Li-Sheng Wang, Fan-Ren Chang