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ICONIP
2009
14 years 9 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
SGP
2004
15 years 2 months ago
Parameterization of Triangle Meshes over Quadrilateral Domains
We present a method for parameterizing irregularly triangulated input models over polyhedral domains with quadrilateral faces. A combination of center-based clustering techniques ...
Ioana M. Boier-Martin, Holly E. Rushmeier, Jingyi ...
IJON
2006
91views more  IJON 2006»
14 years 11 months ago
Symmetry axis extraction by a neural network
This paper proposes a neural network model that extracts axes of symmetry from visual patterns. The input patterns can be line drawings, plane figures or gray-scaled natural image...
Kunihiko Fukushima, Masayuki Kikuchi
CHI
2007
ACM
16 years 7 days ago
An extensible platform for the interactive exploration of Fitts' Law and related movement time models
This paper describes a new software platform for the interactive exploration of human performance models such as Fitts' law. The software is written in Java and provides a fl...
Martin J. Schedlbauer
IJPRAI
2010
105views more  IJPRAI 2010»
14 years 9 months ago
An Ontology-Based Model for Representing Image Processing Application Objectives
This paper investigates what kinds of information are necessary and sufficient to design and evaluate image processing software programs and proposes a representation of these inf...
Régis Clouard, Arnaud Renouf, Marinette Rev...