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» Spectral Generative Models for Graphs
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ICSM
2003
IEEE
14 years 1 months ago
On Modeling Software Architecture Recovery as Graph Matching
This paper presents a graph matching model for the software architecture recovery problem. Because of their expressiveness, the graphs have been widely used for representing both ...
Kamran Sartipi, Kostas Kontogiannis
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
14 years 8 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
CVPR
2005
IEEE
14 years 10 months ago
Corrected Laplacians: Closer Cuts and Segmentation with Shape Priors
We optimize over the set of corrected laplacians (CL) associated with a weighted graph to improve the average case normalized cut (NCut) of a graph. Unlike edge-relaxation SDPs, o...
David Tolliver, Gary L. Miller, Robert T. Collins
WWW
2007
ACM
14 years 9 months ago
Generative models for name disambiguation
Name ambiguity is a special case of identity uncertainty where one person can be referenced by multiple name variations in different situations or even share the same name with ot...
Yang Song, Jian Huang 0002, Isaac G. Councill, Jia...
PAMI
2006
132views more  PAMI 2006»
13 years 8 months ago
A Generative Sketch Model for Human Hair Analysis and Synthesis
In this paper, we present a generative sketch model for human hair analysis and synthesis. We treat hair images as 2D piecewisely smooth vector (flow) fields, and thus our represe...
Hong Chen, Song Chun Zhu