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» Discriminative Random Fields
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91
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CVPR
2004
IEEE
16 years 2 months ago
Improving Object Classification in Far-Field Video
Object classification in far-field video sequences is a challenging problem because of low resolution imagery and projective image distortion. Most existing far-field classificati...
Biswajit Bose, W. Eric L. Grimson
NAACL
2003
15 years 2 months ago
A Spoken Dialogue Interface to a Geologist's Field Assistant
We will demonstrate a spoken dialogue interface to a Geologist’s Field Assistant that is being developed as part of NASA’s Mobile Agents project. The assistant consists of a r...
John Dowding, James Hieronymus
168
Voted
ICML
2003
IEEE
16 years 1 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
128
Voted
PAA
2002
15 years 10 days ago
Bagging, Boosting and the Random Subspace Method for Linear Classifiers
: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers. These techniques are designed for, and usually ...
Marina Skurichina, Robert P. W. Duin
90
Voted
BMCBI
2008
95views more  BMCBI 2008»
15 years 24 days ago
Methodology capture: discriminating between the "best" and the rest of community practice
Background: The methodologies we use both enable and help define our research. However, as experimental complexity has increased the choice of appropriate methodologies has become...
James M. Eales, John W. Pinney, Robert D. Stevens,...