179 search results - page 1 / 36 » Learning at Low False Positive Rates |
CEAS
2006
Springer
13 years 8 months ago
2006
Springer
Most spam filters are configured for use at a very low falsepositive rate. Typically, the filters are trained with techniques that optimize accuracy or entropy, rather than perfor...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
Lung nodule detection, especially ground glass opacity (GGO) detection, in helical computed tomography (CT) images is a challenging Computer-Aided Detection (CAD) task due to the ...
NIPS
2001
13 years 6 months ago
2001
This paper develops a new approach for extremely fast detection in domains where the distribution of positive and negative examples is highly skewed (e.g. face detection or databa...
CSDA
2008
13 years 5 months ago
2008
In multiple hypotheses testing, it is important to control the probability of rejecting "true" null hypotheses. A standard procedure has been to control the family-wise ...
MICCAI
2006
Springer
14 years 5 months ago
2006
Springer
Abstract. In this paper, we treat the problem of reducing the false positives (FP) in the automatic detection of colorectal polyps at Computer Aided Detection in Computed Tomograph...