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» Detecting Fractures in Classifier Performance
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CVPR
2009
IEEE
16 years 5 months ago
Multi-Cue Onboard Pedestrian Detection
Various powerful people detection methods exist. Surprisingly, most approaches rely on static image features only despite the obvious potential of motion information for people ...
Christian Wojek (TU Darmstadt), Stefan Walk (TU Da...
ICIP
2004
IEEE
15 years 11 months ago
Time-constraint boost for tv commercials detection
Commercials detection is very important for TV broadcast analysis. However, independent classification of video shots is very difficult because a considerable portion of individua...
Tie-Yan Liu, Tao Qin, HongJiang Zhang
MAMMO
2010
Springer
14 years 11 months ago
A Boosting Based Approach for Automatic Micro-calcification Detection
Abstract. In this paper we present a boosting based approach for automatic detection of micro-calcifications in mammographic images. Our proposal is based on using local features e...
Arnau Oliver, Albert Torrent, Meritxell Tortajada,...
ICPR
2004
IEEE
15 years 11 months ago
Sample Size Estimation using the Receiver Operating Characteristic Curve
In this paper we describe two related approaches to estimating the sample sizes required to statistically compare the performance of two classifiers: acceptable failure rates (AFR...
Andrew P. Bradley, I. Dennis Longstaff
ICIP
2008
IEEE
15 years 11 months ago
People re-detection using Adaboost with sift and color correlogram
People re-detection aims at performing re-identification of people who leave the scene and reappear after some time. This is an important problem especially in video surveillance ...
Lei Hu, Shuqiang Jiang, Qingming Huang, Wen Gao