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» General Pseudo-random Generators from Weaker Models of Compu...
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106
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CVPR
2006
IEEE
16 years 2 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»
15 years 19 days 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
94
Voted
IPPS
2007
IEEE
15 years 7 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...
69
Voted
SAC
2010
ACM
15 years 7 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
15 years 6 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