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ESANN
2008
15 years 5 months ago
Generalized matrix learning vector quantizer for the analysis of spectral data
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...
SPDECE
2007
115views Education» more  SPDECE 2007»
15 years 4 months ago
On the General Structure of Ontologies of Instructional Models
This paper addresses the representation of the main elements of instructional models using formal ontology languages. Following existing conceptualizations, models, methods and con...
Miguel-Ángel Sicilia
147
Voted
CGF
2006
72views more  CGF 2006»
15 years 3 months ago
GEncode: Geometry-driven compression for General Meshes
Performances of actual mesh compression algorithms vary significantly depending on the type of model it encodes. These methods rely on prior assumptions on the mesh to be efficient...
Thomas Lewiner, Marcos Craizer, Hélio Lopes...
117
Voted
CORR
2006
Springer
105views Education» more  CORR 2006»
15 years 3 months ago
Generalization error bounds in semi-supervised classification under the cluster assumption
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
Philippe Rigollet
181
Voted
ICRA
2010
IEEE
220views Robotics» more  ICRA 2010»
15 years 1 months ago
General object tracking with a component-based target descriptor
In this paper, we present a component-based visual object tracker for mobile platforms. The core of the technique is a component-based descriptor that captures the structure and ap...
Simone Frintrop