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SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
13 years 11 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
CGF
1998
134views more  CGF 1998»
13 years 10 months ago
Progressive Iso-Surface Extraction from Hierarchical 3D Meshes
A multiresolution data decomposition offers a fundamental framework supporting compression, progressive transmission, and level-of-detail (LOD) control for large two or three dime...
Wenli Cai, Georgios Sakas, Roberto Grosso, Thomas ...
CISIS
2010
IEEE
14 years 5 months ago
Integrating Production Automation Expert Knowledge Across Engineering Stakeholder Domains
— The engineering of complex production automation systems involves experts from several backgrounds, such as mechanical, electrical, and software engineering. The production aut...
Thomas Moser, Stefan Biffl, Wikan Danar Sunindyo, ...
CINQ
2004
Springer
180views Database» more  CINQ 2004»
14 years 2 months ago
Interactivity, Scalability and Resource Control for Efficient KDD Support in DBMS
The conflict between resource consumption and query performance in the data mining context often has no satisfactory solution. This not only stands in sharp contrast to the need of...
Matthias Gimbel, Michael Klein, Peter C. Lockemann
ICPR
2002
IEEE
14 years 11 months ago
Shape Representation Using Concavity Graphs
In this paper, a new graph data structure for 2-D shape representation is proposed. The new structure is called a concavity graph, and is an evolution from the already known "...
Ossama El Badawy, Mohamed Kamel