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» On Deep Generative Models with Applications to Recognition
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KRMED
2004
13 years 8 months ago
Symbolic modeling of structural relationships in the Foundational Model of Anatomy
The need for a sharable resource that can provide deep anatomical knowledge and support inference for biomedical applications has recently been the driving force in the creation o...
José L. V. Mejino Jr., Cornelius Rosse
IISWC
2008
IEEE
14 years 1 months ago
A workload for evaluating deep packet inspection architectures
—High-speed content inspection of network traffic is an important new application area for programmable networking systems, and has recently led to several proposals for high-per...
Michela Becchi, Mark A. Franklin, Patrick Crowley
CVPR
2012
IEEE
11 years 10 months ago
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle seg
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...
Gustavo Carneiro, Jacinto C. Nascimento
NAACL
2003
13 years 8 months ago
A Generative Probabilistic OCR Model for NLP Applications
In this paper, we introduce a generative probabilistic optical character recognition (OCR) model that describes an end-to-end process in the noisy channel framework, progressing f...
Okan Kolak, William J. Byrne, Philip Resnik
EACL
2006
ACL Anthology
13 years 8 months ago
Generating Statistical Language Models from Interpretation Grammars in Dialogue Systems
In this paper, we explore statistical language modelling for a speech-enabled MP3 player application by generating a corpus from the interpretation grammar written for the applica...
Rebecca Jonson