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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
HAIS
2009
Springer
15 years 2 months ago
2009
Springer
Network vulnerability assessments collect large amounts of data to be further analyzed by security experts. Data mining and, particularly, unsupervised learning can help experts an...
GI
2009
Springer
14 years 7 months ago
2009
Springer
: The task of tracking extended objects or (partly) unresolvable group targets raises new challenges for both data association and track maintenance. Due to limited sensor resoluti...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
In this paper we develop a novel contrast-invariant appearance detection model. The goal is to classify object-specific images (e.g. face images) from generic background patches. ...