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» Vector map compression: a clustering approach
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ICDAR
2009
IEEE
13 years 8 months ago
A Method for Automatically Extracting Road Layers from Raster Maps
To exploit the road network in raster maps, the first step is to extract the pixels that constitute the roads and then vectorize the road pixels. Identifying colors that represent...
Yao-Yi Chiang, Craig A. Knoblock
ICIP
2005
IEEE
15 years 15 days ago
Predictive compression of dynamic 3D meshes
An efficient algorithm for compression of dynamic time-consistent 3D meshes is presented. Such a sequence of meshes contains a large degree of temporal statistical dependencies tha...
Aljoscha Smolic, Karsten Müller, Matthias Kau...
ESANN
2006
14 years 7 days ago
Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
We explore the capability of the Self Organizing Map for structured data (SOM-SD) to compress continuous time data recorded from a kinematic tree, which can represent a robot or an...
Jochen J. Steil, Risto Koiva, Alessandro Sperduti
ICNC
2005
Springer
14 years 4 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
MICCAI
2005
Springer
14 years 11 months ago
Support Vector Clustering for Brain Activation Detection
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann H...