137 search results - page 8 / 28 » Sparse Semi-supervised Learning Using Conjugate Functions |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
ECCV
2010
Springer
14 years 1 days ago
2010
Springer
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
A central problem in the analysis of motion capture (Mo-
Cap) data is how to decompose motion sequences into primitives.
Ideally, a description in terms of primitives should
fac...
FLAIRS
2003
13 years 9 months ago
2003
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...