1956 search results - page 139 / 392 » Learning the Relative Importance of Features in Image Data |
151
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CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
108
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AIPS
2008
15 years 6 months ago
2008
Despite the recent resurgence of interest in learning methods for planning, most such efforts are still focused exclusively on classical planning problems. In this work, we invest...
157
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KDD
2009
ACM
16 years 4 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
165
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IJIIDS
2008
15 years 3 months ago
2008
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
151
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VLSISP
1998
15 years 3 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...