57 search results - page 3 / 12 » An Analysis of Active Learning Strategies for Sequence Label... |
DAGM
2009
Springer
13 years 11 months ago
2009
Springer
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
RIAO
2000
13 years 6 months ago
2000
We consider the application of machine learning techniques for sequence modeling to Information Retrieval (IR) and surface Information Extraction (IE) tasks. We introduce a generi...
IGARSS
2009
13 years 2 months ago
2009
Supervised learners can be used to automatically classify many types of spatially distributed data. For example, land cover classification by hyperspectral image data analysis is ...
CAMP
2005
IEEE
13 years 10 months ago
2005
IEEE
—This paper describes a task-independent controller that allows for an easy implementation of vision systems for processing video sequences. The controller does not have a fixed ...
COLING
2008
13 years 6 months ago
2008
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...