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» Boosting Object Detection Using Feature Selection
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CVPR
2005
IEEE
15 years 6 months ago
A Two-Stage Level Set Evolution Scheme for Man-Made Objects Detection in Aerial Images
A novel two-stage level set evolution method for detecting man-made objects in aerial images is described. The method is based on a modified Mumford-Shah model and it uses a two-s...
Guo Cao, Xin Yang, Zhihong Mao
ATAL
2009
Springer
15 years 9 months ago
Dynamic information source selection for intrusion detection systems
Our work presents a mechanism designed for the selection of the optimal information provider in a multi-agent, heterogeneous and unsupervised monitoring system. The selfadaptation...
Martin Rehák, Eugen Staab, Michal Pechoucek...
QOSIP
2005
Springer
15 years 10 months ago
802.11 MAC Protocol with Selective Error Detection for Speech Transmission
The IEEE 802.11 standard currently does not offer support to exploit the unequal perceptual importance of multimedia bitstreams. All packets affected by channel errors, in fact, ...
Antonio Servetti, Juan Carlos De Martin
IROS
2006
IEEE
247views Robotics» more  IROS 2006»
15 years 10 months ago
Towards Open-Ended 3D Rotation and Shift Invariant Object Detection for Robot Companions
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
Jens Kubacki, Winfried Baum
ICONIP
2008
15 years 6 months ago
Detecting Methods of Virus Email Based on Mail Header and Encoding Anomaly
In this paper, we try to develop a machine learning-based virus email detection method. The key feature of this paper is employing Mail Header and Encoding Anomaly(MHEA) [1]. MHEA ...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...