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» Building a Stochastic Dynamic Model of Application Use
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COLING
1996
15 years 8 months ago
Processing Metonymy- a Domain-Model Heuristic Graph Traversal Approach
We address here the treatment of metonymic expressions from a knowledge representation perspective, that is, in the context of a text understanding system which aims to build a co...
Jacques Bouaud, Bruno Bachimont, Pierre Zweigenbau...
CVPR
2003
IEEE
16 years 8 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...
DSS
2007
94views more  DSS 2007»
15 years 6 months ago
A formal modeling approach for supply chain event management
: As supply chains become more dynamic it is important to be able to model them formally as business processes. In particular, there is a need for a sense and respond capability to...
Rong Liu, Akhil Kumar, Wil M. P. van der Aalst
GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
16 years 1 months ago
Liposome logic
VLSI research, in its continuous push toward further miniaturisation, is seeking to break through the limitations of current circuit manufacture techniques by moving towards biomi...
James Smaldon, Natalio Krasnogor, Alexander Camero...
ICIP
2010
IEEE
15 years 4 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...