35 search results - page 5 / 7 » Online Multiple Instance Learning with No Regret |
LION
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
AAAI
2007
13 years 9 months ago
2007
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
We develop an online algorithm called Component Hedge for learning structured concept classes when the loss of a structured concept sums over its components. Example classes inclu...
COLT
2005
Springer
13 years 9 months ago
2005
Springer
Category ranking is the task of ordering labels with respect to their relevance to an input instance. In this paper we describe and analyze several algorithms for online category r...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
We describe an online approach to learn non-linear motion patterns and robust appearance models for multi-target tracking in a tracklet association framework. Unlike most previous...