171 search results - page 15 / 35 » A Boosting Approach to Multiple Instance Learning |
PAKDD
2004
ACM
14 years 1 months ago
2004
ACM
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
JMLR
2010
13 years 2 months ago
2010
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
UAI
2008
13 years 9 months ago
2008
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
CVPR
2005
IEEE
14 years 1 months ago
2005
IEEE
With the aim to design a general learning framework for detecting faces of various poses or under different lighting conditions, we are motivated to formulate the task as a classi...