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» Simultaneous Geometric Graph Embeddings
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PAMI
2007
154views more  PAMI 2007»
13 years 6 months ago
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
ICPR
2008
IEEE
14 years 1 months ago
Semi-supervised learning by locally linear embedding in kernel space
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masu...
GD
2008
Springer
13 years 8 months ago
Succinct Greedy Graph Drawing in the Hyperbolic Plane
We describe an efficient method for drawing any n-vertex simple graph G in the hyperbolic plane. Our algorithm produces greedy drawings, which support greedy geometric routing, so...
David Eppstein, Michael T. Goodrich
PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
14 years 1 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...
CVPR
2011
IEEE
13 years 3 months ago
Graph Embedding Discriminant Analysis on Grassmannian Manifolds for Improved Image Set Matching
A convenient way of dealing with image sets is to represent them as points on Grassmannian manifolds. While several recent studies explored the applicability of discriminant analy...
Mehrtash Harandi, Sareh, Shirazi (National ICT Aus...