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173
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CVPR
2012
IEEE
13 years 6 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
129
Voted
ECTEL
2010
Springer
15 years 4 months ago
Knowledge Maturing Activities and Practices Fostering Organisational Learning: Results of an Empirical Study
Abstract. Knowledge work is performed in all occupations and across all industries. The level of similarity of knowledge work allows for designing supporting tools that can be wide...
Andreas Kaschig, Ronald Maier, Alexander Sandow, M...
139
Voted
DAGM
2009
Springer
15 years 10 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters
139
Voted
DAGM
2006
Springer
15 years 7 months ago
Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
Christian Derichs, Heinrich Niemann
146
Voted
IROS
2008
IEEE
141views Robotics» more  IROS 2008»
15 years 10 months ago
Active sensing based dynamical object feature extraction
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...