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PR
2006
147views more  PR 2006»
13 years 7 months ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung
IJCV
2000
93views more  IJCV 2000»
13 years 7 months ago
How Optimal Depth Cue Integration Depends on the Task
Bayesian parameter estimation can be used to generate statistically optimal solutions to the problem of cue integration. However, the complexity and dimensionality of these solutio...
Paul R. Schrater, Daniel Kersten
IPSN
2004
Springer
14 years 1 months ago
Nonparametric belief propagation for self-calibration in sensor networks
Automatic self-calibration of ad-hoc sensor networks is a critical need for their use in military or civilian applications. In general, self-calibration involves the combination o...
Alexander T. Ihler, John W. Fisher III, Randolph L...
SIAMCO
2008
130views more  SIAMCO 2008»
13 years 7 months ago
Important Moments in Systems and Control
The moment problem matured from its various special forms in the late 19th and early 20th Centuries to a general class of problems that continues to exert profound influence on the...
Christopher I. Byrnes, Anders Lindquist
ASWSD
2004
Springer
14 years 1 months ago
Automotive Software: A Challenge and Opportunity for Model-Based Software Development
Embedded software development for automotive applications is widely considered as a significant source of innovation and improvements in cars. However, software development proces...
Gabor Karsai