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112
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NIPS
2008
15 years 2 months ago
Learning Taxonomies by Dependence Maximization
We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
Matthew B. Blaschko, Arthur Gretton
APVIS
2004
15 years 1 months ago
A Comparison and Evaluation of Interpolation Methods for Visualising Discrete 2D Survey Data
Discrete 2D survey data is common in the areas of business, science and government. Visualisation is often used to present such data. The best form of visualisation depends on how...
Burkhard Wünsche, Ewan D. Tempero
82
Voted
ESANN
2001
15 years 1 months ago
Rectified Gaussian distributions and the formation of local filters from video data
We investigate the use of an unsupervised artificial neural network to form a sparse representation of the underlying causes in a data set. By using fixed lateral connections that...
Emilio Corchado, Darryl Charles, Colin Fyfe
113
Voted
PRIS
2001
15 years 1 months ago
Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models
This paper addresses the problem of tracking objects with complex motion dynamics or shape changes. It is assumed that some of the visual features detected in the image (e.g., edg...
Jacinto C. Nascimento, Jorge S. Marques
90
Voted
ESA
2010
Springer
248views Algorithms» more  ESA 2010»
15 years 1 months ago
The Robustness of Level Sets
We define the robustness of a level set homology class of a function f : X R as the magnitude of a perturbation necessary to kill the class. Casting this notion into a group theor...
Paul Bendich, Herbert Edelsbrunner, Dmitriy Morozo...