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» Hierarchical Clustering of a Mixture Model
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ICIP
2003
IEEE
14 years 7 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
TSP
2008
167views more  TSP 2008»
13 years 4 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
FLAIRS
2003
13 years 7 months ago
Topic Extraction and Extension to Support Concept Mapping
Successful knowledge management may depend not only on knowledge capture, but on knowledge construction—on formulating new and useful knowledge that was not previously available...
David B. Leake, Ana Gabriela Maguitman, Thomas Rei...
BMCBI
2007
202views more  BMCBI 2007»
13 years 5 months ago
ProtNet: a tool for stochastic simulations of protein interaction networks dynamics
Background: Protein interactions support cell organization and mediate its response to any specific stimulus. Recent technological advances have produced large data-sets that aim ...
Massimo Bernaschi, Filippo Castiglione, Alessandra...
ATAL
2005
Springer
13 years 11 months ago
Discovering strategic multi-agent behavior in a robotic soccer domain
2. THE MASM ALGORITHM An input to the MASM algorithm is a time-annotated multi-agent action sequence. The action sequence is then transformed into an action graph. An action graph ...
Andraz Bezek