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ICDAR
2011
IEEE
7 years 8 months ago
Continuous CRF with Multi-scale Quantization Feature Functions Application to Structure Extraction in Old Newspaper
—We introduce quantization feature functions to represent continuous or large range discrete data into the symbolic CRF data representation. We show that doing this convertion in...
David Hebert, Thierry Paquet, Stéphane Nico...
JMLR
2008
139views more  JMLR 2008»
8 years 8 months ago
Regularization on Graphs with Function-adapted Diffusion Processes
Harmonic analysis and diffusion on discrete data has been shown to lead to state-of-theart algorithms for machine learning tasks, especially in the context of semi-supervised and ...
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman
CCA
2005
Springer
8 years 10 months ago
Computable Versions of Basic Theorems in Functional Analysis
If one wishes to find out whether a computational problem over discrete data is solvable or how complex it is, the classical approach is to represent the discrete objects in quest...
Atsushi Yoshikawa, Mariko Yasugi
DFG
2007
Springer
9 years 2 months ago
Natural Neighbor Concepts in Scattered Data Interpolation and Discrete Function Approximation
: The concept of natural neighbors employs the notion of distance to define local neighborhoods in discrete data. Especially when querying and accessing large scale data, it is im...
Tom Bobach, Georg Umlauf
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