111 search results - page 18 / 23 » Perspectives on Sparse Bayesian Learning |
99
Voted
ALT
2007
Springer
15 years 5 months ago
2007
Springer
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...
IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— We present as a contribution to the field of humanmachine interaction a system that analyzes human movements online through multiple observers, based on the concept of...
138
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
This paper deals with estimation of dense optical flow
and ego-motion in a generalized imaging system by exploiting
probabilistic linear subspace constraints on the flow.
We dea...
JMLR
2010
14 years 6 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
105
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JMLR
2008
14 years 11 months ago
2008
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...