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» Unsupervised Learning for Graph Matching
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ECCV
2010
Springer
14 years 28 days ago
Reweighted Random Walks for Graph Matching
Graph matching is an essential problem in computer vision and machine learning. In this paper, we introduce a random walk view on the problem and propose a robust graph matching al...
Minsu Cho (Seoul National University), Jungmin Lee...
CVPR
2008
IEEE
14 years 9 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
AUSDM
2007
Springer
102views Data Mining» more  AUSDM 2007»
13 years 11 months ago
A Two-Step Classification Approach to Unsupervised Record Linkage
Linking or matching databases is becoming increasingly important in many data mining projects, as linked data can contain information that is not available otherwise, or that woul...
Peter Christen
CVPR
2006
IEEE
14 years 9 months ago
Unsupervised Discovery of Action Classes
In this paper we consider the problem of describing the action being performed by human figures in still images. We will attack this problem using an unsupervised learning approac...
Greg Mori, Hao Jiang, Mark S. Drew, Yang Wang 0003...
MIR
2006
ACM
267views Multimedia» more  MIR 2006»
14 years 1 months ago
Matching slides to presentation videos using SIFT and scene background matching
We present a general approach for automatically matching electronic slides to videos of corresponding presentations for use in distance learning and video proceedings of conferenc...
Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat,...