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ADCM
2008
136views more  ADCM 2008»
13 years 8 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
CORR
2008
Springer
103views Education» more  CORR 2008»
13 years 8 months ago
Executable Set Theory and Arithmetic Encodings in Prolog
The paper is organized as a self-contained literate Prolog program that implements elements of an executable finite set theory with focus on combinatorial generation and arithmetic...
Paul Tarau
CDC
2010
IEEE
210views Control Systems» more  CDC 2010»
13 years 3 months ago
Advances in moving horizon estimation for nonlinear systems
In the past decade, moving horizon estimation (MHE) has emerged as a powerful technique for estimating the state of a dynamical system in the presence of nonlinearities and disturb...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...
NN
2000
Springer
170views Neural Networks» more  NN 2000»
13 years 8 months ago
Synthetic brain imaging: grasping, mirror neurons and imitation
The article contributes to the quest to relate global data on brain and behavior (e.g. from PET, Positron Emission Tomography, and fMRI, functional Magnetic Resonance Imaging) to ...
Michael A. Arbib, Aude Billard, Marco Iacoboni, Er...
BIBE
2006
IEEE
138views Bioinformatics» more  BIBE 2006»
14 years 2 months ago
Assigning Schema Labels Using Ontology And Hueristics
Bioinformatics data is growing at a phenomenal rate. Besides the exponential growth of individual databases, the number of data depositories is increasing too. Because of the comp...
Xuan Zhang, Ruoming Jin, Gagan Agrawal