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» Clustering on Complex Graphs
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CVPR
2009
IEEE
17 years 1 months ago
Robust Multi-Class Transductive Learning with Graphs
Graph-based methods form a main category of semisupervised learning, offering flexibility and easy implementation in many applications. However, the performance of these methods...
Wei Liu (Columbia University), Shih-fu Chang (Colu...
ICIP
2008
IEEE
16 years 8 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
ISM
2006
IEEE
129views Multimedia» more  ISM 2006»
15 years 6 months ago
A Graph-Based Approach for Modeling and Indexing Video Data
In this work, we propose new graph-based data model and indexing to organize and manage video data. To consider spatial and temporal characteristics of video, we introduce a new g...
JeongKyu Lee
CGF
2008
165views more  CGF 2008»
15 years 6 months ago
Visual Inspection of Multivariate Graphs
Most graph visualization techniques focus on the structure of graphs and do not offer support for dealing with node attributes and edge labels. To enable users to detect relations...
A. Johannes Pretorius, Jarke J. van Wijk
CAISE
1999
Springer
15 years 11 months ago
Applying Graph Reduction Techniques for Identifying Structural Conflicts in Process Models
Abstract. The foundation of a process model lies in its control flow specifications. Using a generic process modeling language for workflows, we show how a control flow specificati...
Wasim Sadiq, Maria E. Orlowska