133 search results - page 7 / 27 » Online Learning of Non-stationary Sequences |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
We consider on-line density estimation with the multivariate Gaussian distribution. In each of a sequence of trials, the learner must posit a mean µ and covariance Σ; the learner...
ICML
2004
IEEE
14 years 24 days ago
2004
IEEE
In this work we consider the task of relaxing the i.i.d assumption in online pattern recognition (or classification), aiming to make existing learning algorithms applicable to a ...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...