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» Learning Boosted Asymmetric Classifiers for Object Detection
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RAS
2007
132views more  RAS 2007»
13 years 7 months ago
Virtual sensors for human concepts - Building detection by an outdoor mobile robot
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We suggest to use a virtual sensor (one or several physic...
Martin Persson, Tom Duckett, Achim J. Lilienthal
ICML
2006
IEEE
14 years 8 months ago
Active sampling for detecting irrelevant features
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo...
CVPR
2007
IEEE
14 years 9 months ago
Semantic Hierarchies for Visual Object Recognition
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
Marcin Marszalek, Cordelia Schmid
ICIP
2009
IEEE
13 years 5 months ago
Rapid stereo-vision enhanced face detection
This paper presents a real-time face detection algorithm. It improves state-of-the-art 2D object detection techniques by additionally evaluating a disparity map, which is estimate...
Sergey Kosov, Kristina Scherbaum, Kamil Faber, Tho...
IJSI
2008
156views more  IJSI 2008»
13 years 7 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker