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» Learning to cluster using local neighborhood structure
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ICPR
2010
IEEE
14 years 7 months ago
Semi-supervised Graph Learning: Near Strangers or Distant Relatives
In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
Weifu Chen, Guocan Feng
CVPR
2006
IEEE
15 years 12 months ago
Unsupervised Learning of Categories from Sets of Partially Matching Image Features
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Kristen Grauman, Trevor Darrell
CGF
2008
98views more  CGF 2008»
14 years 10 months ago
Surface Reconstruction from Unorganized Point Data with Quadrics
We present a reverse engineering method for constructing a surface approximation scheme whose input is a set of unorganized noisy points in space and whose output is a set of quad...
Marek Vanco, Bernd Hamann, Guido Brunnett
WWW
2010
ACM
15 years 4 months ago
Visual structure-based web page clustering and retrieval
Clustering and retrieval of web pages dominantly relies on analyzing either the content of individual web pages or the link structure between them. Some literature also suggests t...
Paul Bohunsky, Wolfgang Gatterbauer
PR
2006
141views more  PR 2006»
14 years 9 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung