BROWSE
Detail
Conference Paper
Design of Parallelized Training System of Single Class Cascade Classifier
Cited 0 time in 
Share 
Share
- Authors
- Joongsoo Lee, Jongyoul Park
- Issue Date
- 2015-12
- Citation
- International Conference on Information Science and Security (ICISS) 2015, pp.1-2
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper proposes a new training method of a cascade classifier in order to implement on Hadoop MapReduce platform. Learning process of cascade classifier requires many computations whereas the serialized algorithm does not fit to a parallel platform well. The parallelization is achieved by dividing the training into two parts. Before starting learning for adaptation to required false positive rate, the unit classifiers are trained independently using positive examples and small set of negative examples. To make a chain of classifiers, the latter part performs training using only negative examples.
- KSP Keywords
- Cascade Classifier, False Positive Rate, Hadoop Mapreduce, Parallel platform, Small set, Training system, learning process, training method