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KDD
2002
ACM
106views Data Mining» more  KDD 2002»
14 years 10 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
BCB
2010
150views Bioinformatics» more  BCB 2010»
13 years 5 months ago
Enzymatic target identification with dynamic states
As a metabolic network reaches from a state to a steady state, a subset of its fluxes gradually change. The sequence of intermediate states, called the dynamic state, shows the pa...
Bin Song, Sanjay Ranka, Tamer Kahveci
ICCV
2007
IEEE
14 years 12 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
SETN
2004
Springer
14 years 3 months ago
Computationally Intelligent Methods for Mining 3D Medical Images
We present novel intelligent tools for mining 3D medical images. We focus on detecting discriminative Regions of Interest (ROIs) and mining associations between their spatial distr...
Despina Kontos, Vasileios Megalooikonomou, Fillia ...
ICIP
2009
IEEE
13 years 7 months ago
A contrario hierarchical image segmentation
Hierarchies are a powerful tool for image segmentation, they produce a multiscale representation which allows to design robust algorithms and can be stored in tree-like structures...
Juan Cardelino, Vicent Caselles, Marcelo Bertalm&i...