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» Building a Large Knowledge Base Semi-Automatically
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ICML
2007
IEEE
14 years 8 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
ICDCN
2009
Springer
14 years 2 months ago
Tracking Dynamics Using Sensor Networks: Some Recurring Themes
Abstract. Much of the data consumed today is dynamic, typically gathered from distributed sources including sensors, and used in real-time monitoring and decision making applicatio...
Krithi Ramamritham
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
14 years 1 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
CMMR
2003
Springer
121views Music» more  CMMR 2003»
14 years 19 days ago
Evolving Automatically High-Level Music Descriptors from Acoustic Signals
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the fi...
François Pachet, Aymeric Zils
SAC
2000
ACM
13 years 11 months ago
The Evolution of the DARWIN System
DARWIN is a web-based system for presenting the results of wind-tunnel testing and computational model analyses to aerospace designers. DARWIN captures the data, maintains the inf...
Joan D. Walton, Robert E. Filman, David J. Korsmey...