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CVPR
2006
IEEE
14 years 11 months ago
Principled Hybrids of Generative and Discriminative Models
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...
IANDC
2008
114views more  IANDC 2008»
13 years 9 months ago
Generalizing the Paige-Tarjan algorithm by abstract interpretation
act Interpretation Francesco Ranzato and Francesco Tapparo Dipartimento di Matematica Pura ed Applicata, Universit`a di Padova, Italy The Paige and Tarjan algorithm (PT) for comp...
Francesco Ranzato, Francesco Tapparo
IPPS
2007
IEEE
14 years 3 months ago
A Model-Driven Approach to Job/Task Composition in Cluster Computing
In the general area of high-performance computing, object-oriented methods have gone largely unnoticed. In contrast, the Computational Neighborhood (CN), a framework for parallel ...
Neeraj Mehta, Yogesh Kanitkar, Konstantin Läu...
SAC
2010
ACM
14 years 3 months ago
A generative pattern model for mining binary datasets
In many application fields, huge binary datasets modeling real life-phenomena are daily produced. The dataset records are usually associated with observations of some events, and...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
ICCV
2005
IEEE
14 years 2 months ago
Learning Non-Generative Grammatical Models for Document Analysis
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
Michael Shilman, Percy Liang, Paul A. Viola