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» Cluster computing for web-scale data processing
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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
CGF
2010
171views more  CGF 2010»
13 years 5 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
MM
2004
ACM
99views Multimedia» more  MM 2004»
14 years 2 months ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...
DEBU
2010
108views more  DEBU 2010»
13 years 8 months ago
Real-Time Traffic Information Management using Stream Computing
With the widespread adoption of location tracking technologies like GPS, the domain of transportation information management has seen growing interest in the last few years. In th...
Alain Biem, Eric Bouillet, Hanhua Feng, Anand Rang...
ICIP
1995
IEEE
14 years 7 days ago
Multigrid adaptive image processing
We consider a general weighted least squares approximation problem with a membrane spline regularization term. The key parameters in this formulation are the weighting factors whi...
Michael Unser