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» Active Structured Learning for High-Speed Object Detection
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IJRR
2010
214views more  IJRR 2010»
14 years 6 months ago
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
Over the last years, object detection has become a more and more active field of research in robotics. An important problem in object detection is the need for sufficient labeled ...
Kevin Lai, Dieter Fox
ECCV
2010
Springer
15 years 1 months ago
Cascaded Confidence Filtering for Improved Tracking-by-Detection
We propose a novel approach to increase the robustness of object detection algorithms in surveillance scenarios. The cascaded confidence filter successively incorporates constraint...
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IJRR
2007
186views more  IJRR 2007»
14 years 9 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz
IPMI
2007
Springer
15 years 10 months ago
Shape Regression Machine
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Shaohua Kevin Zhou, Dorin Comaniciu
KES
2000
Springer
15 years 1 months ago
ActiveCube: a bi-directional user interface using cubes
: ActiveCube is a bi-directional user interface that supports a person's creative work through constructing and interacting with 3-D virtual objects by using actual physical c...
Yoshifumi Kitamura, Yuichi Itoh, Toshihiro Masaki,...