32 search results - page 4 / 7 » Transductive Rademacher Complexities for Learning Over a Gra... |
KDD
2009
ACM
15 years 2 months ago
2009
ACM
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
110
Voted
CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
104
click to vote
ECCB
2005
IEEE
15 years 3 months ago
2005
IEEE
Many areas of modern biology are concerned with the management, storage, visualization, comparison, and analysis of networks. For instance, networks are used to model signal trans...
115
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IWCM
2004
Springer
15 years 2 months ago
2004
Springer
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
123
Voted
CONCUR
1998
Springer
15 years 1 months ago
1998
Springer
Performance evaluation is a central issue in the design of complex real-time systems. In this work, we propose an extension of socalled "Max-Plus" algebraic techniques to...