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» Combining Methods for Dynamic Multiple Classifier Systems
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CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
16 years 7 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...
127
Voted
TIP
2008
169views more  TIP 2008»
15 years 13 days ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
103
Voted
PRL
1998
93views more  PRL 1998»
15 years 5 days ago
A connectionist method for pattern classification with diverse features
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
Ke Chen 0001
83
Voted
IUI
2006
ACM
15 years 6 months ago
Automatically classifying emails into activities
Email-based activity management systems promise to give users better tools for managing increasing volumes of email, by organizing email according to a user’s activities. Curren...
Mark Dredze, Tessa A. Lau, Nicholas Kushmerick
106
Voted
ESANN
2000
15 years 1 months ago
Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier
In this paper we investigate the performance of a Computer Aided Diagnosis (CAD) system for the detection of clustered microcalcifications in mammograms. Our detection algorithm co...
Armando Bazzani, Alessandro Bevilacqua, Dante Boll...