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» A Latent Model of Discriminative Aspect
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ICCV
2009
IEEE
15 years 12 days ago
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...
NAACL
2010
13 years 5 months ago
Probabilistic Frame-Semantic Parsing
This paper contributes a formalization of frame-semantic parsing as a structure prediction problem and describes an implemented parser that transforms an English sentence into a f...
Dipanjan Das, Nathan Schneider, Desai Chen, Noah A...
JMLR
2012
11 years 10 months ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
CVPR
2007
IEEE
14 years 1 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
HASE
2008
IEEE
14 years 1 months ago
Small Logs for Transactional Services: Distinction is Much More Accurate than (Positive) Discrimination
For complex services, logging is an integral part of many middleware aspects, especially, transactions and monitoring. In the event of a failure, the log allows us to deduce the c...
Debmalya Biswas, Thomas Gazagnaire, Blaise Genest