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» Marketing segmentation using support vector clustering
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136
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CIKM
2009
Springer
15 years 8 months ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...
127
Voted
VLSISP
1998
140views more  VLSISP 1998»
15 years 3 months ago
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Understanding of the scene content of a video sequence is very important for content-based indexing and retrieval of multimedia databases. Research in this area in the past severa...
Zhu Liu, Yao Wang, Tsuhan Chen
142
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KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 3 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
VIS
2004
IEEE
195views Visualization» more  VIS 2004»
16 years 4 months ago
Flow Field Clustering via Algebraic Multigrid
We present a novel multiscale approach for flow visualization. We define a local alignment tensor that encodes a measure for alignment to the direction of a given flow field. This...
Michael Griebel, Tobias Preußer, Martin Rump...
103
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CVPR
2010
IEEE
15 years 8 months ago
"Lattice Cut" - Constructing superpixels using layer constraints
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for featur...
Alastair Moore, Simon Prince