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» Perceptual Learning and Abstraction in Machine Learning
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CLUSTER
2007
IEEE
14 years 18 days ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...
ICML
2005
IEEE
14 years 9 months ago
A graphical model for chord progressions embedded in a psychoacoustic space
Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in...
David Barber, Douglas Eck, Jean-François Pa...
ECCV
2006
Springer
14 years 10 months ago
Machine Learning for High-Speed Corner Detection
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...
Edward Rosten, Tom Drummond
IICAI
2003
13 years 10 months ago
Machine Learning in Infrastructure Security
Abstract: Democratic societies throughout the world, it appears, are facing a new type of threat dubbed "asymmetric threat." In this new threat environment the world gove...
V. Rao Vemuri
CORR
2008
Springer
118views Education» more  CORR 2008»
13 years 8 months ago
Learning Low-Density Separators
Abstract. We define a novel, basic, unsupervised learning problem learning the the lowest density homogeneous hyperplane separator of an unknown probability distribution. This task...
Shai Ben-David, Tyler Lu, Dávid Pál,...