Cascade training
نویسندگان
چکیده
منابع مشابه
Optimally Training a Cascade Classifier
Cascade classifiers are widely used in real-time object detection. Different from conventional classifiers that are designed for a low overall classification error rate, a classifier in each node of the cascade is required to achieve an extremely high detection rate and moderate false positive rate. Although there are a few reported methods addressing this requirement in the context of object d...
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متن کاملExtensions to Cascade-Correlation Training
We report on results of experiments using several variations of CascadeCorrelation. The first examines the application of patience parameters to the addition of hidden nodes with the aim of halting network training. The other techniques involve altering standard candidate training: both training candidates in subgroups of the same node style and training candidates individually, instead of trai...
متن کاملSample Selection for Training Cascade Detectors
Automatic detection systems usually require large and representative training datasets in order to obtain good detection and false positive rates. Training datasets are such that the positive set has few samples and/or the negative set should represent anything except the object of interest. In this respect, the negative set typically contains orders of magnitude more images than the positive s...
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ژورنال
عنوان ژورنال: British Dental Journal
سال: 2006
ISSN: 0007-0610,1476-5373
DOI: 10.1038/sj.bdj.4813908