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» A framework for visual data mining of structures
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KDD
2009
ACM
379views Data Mining» more  KDD 2009»
14 years 1 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
APVIS
2010
13 years 10 months ago
Adaptive proxy geometry for direct volume manipulation
This paper introduces a new design to allow interactive, direct manipulation of volume data on volumetrically rendered images. We present an adaptive volume proxy mesh which serve...
Megumi Nakao, Kei Wai Cecilia Hung, Satoshi Yano, ...
UAI
1996
13 years 10 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
DIS
2010
Springer
13 years 7 months ago
ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis
Abstract. We propose an association analysis-based strategy for exploration of multi-attribute spatial datasets possessing naturally arising classification. Proposed strategy, EST...
Tomasz F. Stepinski, Josue Salazar, Wei Ding 0003,...
CVPR
2008
IEEE
14 years 10 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...