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IPMU
2010
Springer
14 years 11 months ago
The Link Prediction Problem in Bipartite Networks
We define and study the link prediction problem in bipartite networks, specializing general link prediction algorithms to the bipartite case. In a graph, a link prediction functio...
Jérôme Kunegis, Ernesto William De Lu...
ICA
2007
Springer
14 years 11 months ago
Bayesian Estimation of Overcomplete Independent Feature Subspaces for Natural Images
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...
Libo Ma, Liqing Zhang
AAAI
2010
14 years 11 months ago
Multi-Instance Dimensionality Reduction
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou
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GRAPHICSINTERFACE
2007
14 years 11 months ago
Stretch-based tetrahedral mesh manipulation
We present a novel least scaling distortion metric to measure the deformation distortion for tetrahedral meshes. The stretch-like metric is a combination of Jacobian matrix norm a...
Wenhao Song, Ligang Liu
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
14 years 11 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang