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» Visualizing dynamic data with maps
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ESANN
2004
15 years 1 months ago
Fast semi-automatic segmentation algorithm for Self-Organizing Maps
Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
David Opolon, Fabien Moutarde
CVPR
2010
IEEE
15 years 5 months ago
Dynamic Surface Matching by Geodesic Mapping for 3D Animation Transfer
This paper presents a novel approach that achieves complete matching of 3D dynamic surfaces. Surfaces are captured from multi-view video data and represented by sequences of 3D ma...
Tony Tung, Takashi Matsuyama
110
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CHI
2010
ACM
15 years 7 months ago
Biketastic: sensing and mapping for better biking
Bicycling is an affordable, environmentally friendly alternative transportation mode to motorized travel. A common task performed by bikers is to find good routes in an area, whe...
Sasank Reddy, Katie Shilton, Gleb Denisov, Christi...
IWSOS
2007
Springer
15 years 6 months ago
Dynamic Ontology Mapping for Interacting Autonomous Systems
Abstract. With the emergence of mobile and ubiquitous computing environments, there is a requirement to enable collaborative applications between these environments. As many of the...
Steven Heeps, Joe Sventek, Naranker Dulay, Alberto...
140
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ADBIS
2007
Springer
145views Database» more  ADBIS 2007»
15 years 6 months ago
A Method for Comparing Self-organizing Maps: Case Studies of Banking and Linguistic Data
The method of self-organizing maps (SOM) is a method of exploratory data analysis used for clustering and projecting multi-dimensional data into a lower-dimensional space to reveal...
Toomas Kirt, Ene Vainik, Leo Vohandu