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» Modeling word burstiness using the Dirichlet distribution
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ACL
2012
13 years 8 months ago
Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach
We address the problem of learning the mapping between words and their possible pronunciations in terms of sub-word units. Most previous approaches have involved generative modeli...
Hao Tang, Joseph Keshet, Karen Livescu
PAMI
2008
190views more  PAMI 2008»
15 years 6 months ago
Scene Classification Using a Hybrid Generative/Discriminative Approach
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
CIKM
2009
Springer
15 years 10 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
EMNLP
2011
14 years 5 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
JNSM
2000
136views more  JNSM 2000»
15 years 5 months ago
Active Management Framework for Distributed Multimedia Systems
The successful deployment of next-generation distributed multimedia systems is signi cantly dependent on the e cient management support that improves the performance and the relia...
Ehab S. Al-Shaer