733 search results - page 136 / 147 » Learning Riemannian Metrics |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
CLEF
2009
Springer
13 years 5 months ago
2009
Springer
Abstract. While classical approaches to unsupervised morphology acquisition often rely on metrics based on information theory for identifying morphemes, we describe a novel approac...
ICCPOL
2009
Springer
13 years 5 months ago
2009
Springer
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
ICVS
2009
Springer
13 years 5 months ago
2009
Springer
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...