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» Clustering for metric and non-metric distance measures
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VISUALIZATION
2000
IEEE
13 years 12 months ago
Topology preserving compression of 2D vector fields
We present an algorithm for compressing 2D vector fields that preserves topology. Our approach is to simplify the given data set using constrained clustering. We employ different...
Suresh K. Lodha, Jose C. Renteria, Krishna M. Rosk...
PAMI
1998
113views more  PAMI 1998»
13 years 7 months ago
Example-Based Learning for View-Based Human Face Detection
—We present an example-based learning approach for locating vertical frontal views of human faces in complex scenes. The technique models the distribution of human face patterns ...
Kah Kay Sung, Tomaso Poggio
EGICE
2006
13 years 11 months ago
Combining Two Data Mining Methods for System Identification
System identification is an abductive task which is affected by several kinds of modeling assumptions and measurement errors. Therefore, instead of optimizing values of parameters ...
Sandro Saitta, Benny Raphael, Ian F. C. Smith
ESANN
2006
13 years 8 months ago
Weighted differential topographic function: a refinement of topographic function
Topology preservation of Self-Organizing Maps (SOMs) is an advantageous property for correct clustering. Among several existing measures of topology violation, this paper studies t...
Lili Zhang, Erzsébet Merényi
ICSE
2011
IEEE-ACM
12 years 11 months ago
Feature cohesion in software product lines: an exploratory study
Software product lines gain momentum in research and industry. duct-line approaches use features as a central abstraction mechanism. Feature-oriented software development aims at ...
Sven Apel, Dirk Beyer