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» A General Method for Feature Matching and Model Extraction
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HAIS
2009
Springer
15 years 8 months ago
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
José Ramón Villar, María del ...
WWW
2010
ACM
15 years 8 months ago
Web-scale knowledge extraction from semi-structured tables
A wealth of knowledge is encoded in the form of tables on the World Wide Web. We propose a classification algorithm and a rich feature set for automatically recognizing layout tab...
Eric Crestan, Patrick Pantel
CVPR
2007
IEEE
16 years 5 months ago
Free-Form Nonrigid Image Registration Using Generalized Elastic Nets
We introduce a novel probabilistic approach for nonparametric nonrigid image registration using generalized elastic nets, a model previously used for topographic maps. The idea of...
Andriy Myronenko, Miguel Á. Carreira-Perpi&...
KI
2007
Springer
15 years 10 months ago
A General Framework for Encoding and Evolving Neural Networks
Abstract. In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect...
Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea...
CVPR
2012
IEEE
13 years 6 months ago
On SIFTs and their scales
Scale invariant feature detectors often find stable scales in only a few image pixels. Consequently, methods for feature matching typically choose one of two extreme options: mat...
Tal Hassner, Viki Mayzels, Lihi Zelnik-Manor