1568 search results - page 44 / 314 » Boosting Object Detection Using Feature Selection |
97
Voted
SMC
2007
IEEE
15 years 8 months ago
2007
IEEE
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...
252
Voted
MVA
2011
14 years 8 months ago
2011
: In this paper we discuss theoretical foundations and a practical realization of a real-time traffic sign detection, tracking and recognition system operating on board of a vehicl...
115
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
This paper presents an online feature selection and classification algorithm. The algorithm is implemented for impact acoustics signals to sort hazelnut kernels. The classifier, w...
124
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ICCV
2003
IEEE
16 years 3 months ago
2003
IEEE
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
113
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FGR
2004
IEEE
15 years 5 months ago
2004
IEEE
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...