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ISBI
2004
IEEE
16 years 5 months ago
Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
Olivier D. Faugeras, Bertrand Thirion
142
Voted
ESWS
2006
Springer
15 years 8 months ago
An Iterative Algorithm for Ontology Mapping Capable of Using Training Data
We present a new iterative algorithm for ontology mapping where we combine standard string distance metrics with a structural similarity measure that is based on a vector represent...
Andreas Heß
140
Voted
LREC
2010
181views Education» more  LREC 2010»
15 years 6 months ago
A Data Category Registry- and Component-based Metadata Framework
We describe our computer-supported framework to overcome the rule of metadata schism. It combines the use of controlled vocabularies, managed by a data category registry, with a c...
Daan Broeder, Marc Kemps-Snijders, Dieter Van Uytv...
NIPS
2004
15 years 6 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
RIAO
2000
15 years 6 months ago
SgmlQL + XGQL = Powerful XML Pattern-Matching and Data-Manipulation in a Single Language
The presence of XML in many recent hypermedia management tools and methods (W3I3, SMIL, etc.) shows better than ever that both structural and textual criteria will continue to pla...
Jacques Le Maitre, Yves Marcoux, Elisabeth Murisas...