35 search results - page 6 / 7 » Online Multiple Instance Learning with No Regret |
COLT
2006
Springer
13 years 11 months ago
2006
Springer
We study the problem of online learning of multiple tasks in parallel. On each online round, the algorithm receives an instance and makes a prediction for each one of the parallel ...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
We propose a novel system for associating multi-target tracks across multiple non-overlapping cameras by an on-line learned discriminative appearance affinity model. Collecting rel...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
ICDM
2010
IEEE
13 years 4 months ago
2010
IEEE
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
COLT
2001
Springer
13 years 12 months ago
2001
Springer
In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...