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» Expressiveness of graph conditions with variables
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ICML
2007
IEEE
15 years 10 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
ECCV
2002
Springer
15 years 11 months ago
What Energy Functions Can Be Minimized via Graph Cuts?
In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs...
Vladimir Kolmogorov, Ramin Zabih
BMCBI
2008
97views more  BMCBI 2008»
14 years 9 months ago
A Population Proportion approach for ranking differentially expressed genes
Background: DNA microarrays are used to investigate differences in gene expression between two or more classes of samples. Most currently used approaches compare mean expression l...
Mugdha Gadgil
WACV
2002
IEEE
15 years 2 months ago
Active Facial Tracking for Fatigue Detection
The vision-based driver fatigue detection is one of the most prospective commercial applications of facial expression recognition technology. The facial feature tracking is the pr...
Haisong Gu, Qiang Ji, Zhiwei Zhu
PODS
2010
ACM
213views Database» more  PODS 2010»
15 years 2 months ago
Expressive languages for path queries over graph-structured data
For many problems arising in the setting of graph querying (such as finding semantic associations in RDF graphs, exact and approximate pattern matching, sequence alignment, etc.)...
Pablo Barceló, Carlos A. Hurtado, Leonid Li...