1. SEmi-automatic VIsual LEarning (SEVILLE): Tutorial on active learning for visual object recognition;Abramsol,2005
2. Learning to detect objects in images via a sparse, part-based representation;Agarwal;Transactions on Pattern Analysis and Machine Intelligence,2004
3. Evaluation of the Use of High-resolution Satellite Imagery in Transportation Applications. Tech. rep., Intelligent Transportation System Institute;Alba-Flores,2005
4. Real-time computation of Haar-like features at generic angles for detection algorithms;Barczack;Research Letters in the Information and Mathematical Sciences,2005
5. Detecting humans in groups using a fast mean shift procedure;Beleznai,2004