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COLING
2000
15 years 1 months ago
Estimation of Stochastic Attribute-Value Grammars using an Informative Sample
We argue that some of the computational complexity associated with estimation of stochastic attributevalue grammars can be reduced by training upon an informative subset of the fu...
Miles Osborne
ML
2006
ACM
14 years 11 months ago
Using duration models to reduce fragmentation in audio segmentation
We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
Samer A. Abdallah, Mark B. Sandler, Christophe Rho...
IJIG
2002
138views more  IJIG 2002»
14 years 11 months ago
A Practical Approach for 3D Building Modeling from Uncalibrated Video Sequences
This paper presents an approach for reconstructing a realistic 3D model of a building from its uncalibrated video sequences taken by a hand-held camera. The novelty of this approa...
Yong Liu, Chengke Wu, Hung-Tat Tsui
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
14 years 10 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
JMLR
2010
173views more  JMLR 2010»
14 years 6 months ago
Elliptical slice sampling
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...