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» Learning Models for Predicting Recognition Performance
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ICPR
2002
IEEE
15 years 10 months ago
Recognition of Gestures in the Context of Speech
The scope of this paper is the interpretation of a user's intention via a video camera and a speech recognizer. In comparison to previous work which only takes into account g...
Matthieu Bray, Hedvig Sidenbladh, Jan-Olof Eklundh
ECML
2004
Springer
15 years 3 months ago
Inducing Polynomial Equations for Regression
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
Ljupco Todorovski, Peter Ljubic, Saso Dzeroski
IEICET
2008
136views more  IEICET 2008»
14 years 9 months ago
Bilingual Cluster Based Models for Statistical Machine Translation
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Hirofumi Yamamoto, Eiichiro Sumita
ICCV
2009
IEEE
16 years 2 months 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...
BMCBI
2010
131views more  BMCBI 2010»
14 years 7 months ago
A two-step site and mRNA-level model for predicting microRNA targets
Background: Despite experiments showing that the number of microRNA (miRNA) target sites is critical for miRNA targeting, most existing methods focus on identifying individual miR...
Takaya Saito, Pål Sætrom