2167 search results - page 255 / 434 » Learning with Drift Detection |
145
click to vote
CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
170
click to vote
ICCV
2005
IEEE
16 years 6 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
130
click to vote
ICMCS
2006
IEEE
15 years 10 months ago
2006
IEEE
This paper presents an interactive video event retrieval system based on improved adaboost learning. This system consists of three main steps. Firstly, a long video sequence is pa...
174
click to vote
ICANN
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
171
click to vote
AHSWN
2010
15 years 4 months ago
2010
One way to prolong the lifetime of a wireless sensor network is to schedule the active times of sensor nodes, so that a node is active only when it is really needed. In the dynami...