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» Learning to localize detected objects
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DAGSTUHL
2004
13 years 11 months ago
Learning with Local Models
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Stefan Rüping
ICCV
2007
IEEE
14 years 12 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
ACCV
2007
Springer
14 years 4 months ago
Hierarchical Learning of Dominant Constellations for Object Class Recognition
Abstract. The importance of spatial configuration information for object class recognition is widely recognized. Single isolated local appearance codes are often ambiguous. On the...
Nathan Mekuz, John K. Tsotsos
MLDM
2007
Springer
14 years 4 months ago
Outlier Detection with Kernel Density Functions
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
Longin Jan Latecki, Aleksandar Lazarevic, Dragolju...
CVIU
2007
107views more  CVIU 2007»
13 years 10 months ago
Robot-vision architecture for real-time 6-DOF object localization
This paper presents a new robot-vision system architecture for real-time moving object localization. The 6-DOF (3 translation and 3 rotation) motion of the objects is detected and...
Yasushi Sumi, Yutaka Ishiyama, Fumiaki Tomita