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ICML
2006
IEEE
16 years 3 months ago
Local distance preservation in the GP-LVM through back constraints
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
Joaquin Quiñonero Candela, Neil D. Lawrence
CVPR
2006
IEEE
15 years 9 months ago
Robust multi-target tracking using spatio-temporal context
In multi-target tracking, the maintaining of the correct identity of targets is challenging. In the presented tracking method, accurate target identification is achieved by incor...
Hieu Tat Nguyen, Qiang Ji, Arnold W. M. Smeulders
MLDM
2005
Springer
15 years 8 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
COLING
2002
15 years 2 months ago
Probabilistic Models of Verb-Argument Structure
We evaluate probabilistic models of verb argument structure trained on a corpus of verbs and their syntactic arguments. Models designed to represent patterns of verb alternation b...
Daniel Gildea
ECML
2007
Springer
15 years 9 months ago
Probabilistic Explanation Based Learning
Abstract. Explanation based learning produces generalized explanations from examples. These explanations are typically built in a deductive manner and they aim to capture the essen...
Angelika Kimmig, Luc De Raedt, Hannu Toivonen