171 search results - page 25 / 35 » A Boosting Approach to Multiple Instance Learning |
SIGIR
2010
ACM
13 years 11 months ago
2010
ACM
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
SAMT
2007
Springer
14 years 1 months ago
2007
Springer
Abstract—An interactive retrieval method adapted to surveillance video is presented. The approach is formulated as an iterative SVM classification and builds upon the two major ...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
IDA
2007
Springer
13 years 7 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
This study evaluates a robust parametric modeling approach for computer-aided detection (CAD) of vertebrae column metastases in whole-body MRI. Our method involves constructing a m...