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» Massive Data Pre-Processing with a Cluster Based Approach
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CVPR
2008
IEEE
16 years 1 months ago
Unsupervised modeling of object categories using link analysis techniques
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Gunhee Kim, Christos Faloutsos, Martial Hebert
SIGIR
2003
ACM
15 years 5 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
CGF
2008
165views more  CGF 2008»
14 years 12 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
WWW
2007
ACM
16 years 12 days ago
Using d-gap patterns for index compression
Sequential patterns of d-gaps exist pervasively in inverted lists of Web document collection indices due to the cluster property. In this paper the information of d-gap sequential...
Jinlin Chen, Terry Cook
SAC
2010
ACM
15 years 5 months ago
User-controlled generalization boundaries for p-sensitive k-anonymity
Numerous privacy models based on the k-anonymity property have been introduced in the last few years. While differing in their methods and quality of their results, they all focus...
Alina Campan, Traian Marius Truta, Nicholas Cooper