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» An objective approach to cluster validation
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ICIP
2007
IEEE
16 years 1 days ago
Mining Auxiliary Objects for Tracking by Multibody Grouping
On-line discovery of some auxiliary objects to verify the tracking results is a novel approach to achieving robust tracking by balancing the need for strong verification and compu...
Ming Yang, Ying Wu, Shihong Lao
99
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CVPR
2011
IEEE
14 years 6 months ago
Sharing Features Between Objects and Their Attributes
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
Sung Ju Hwang, Fei Sha, Kristen Grauman
ICAT
2003
IEEE
15 years 3 months ago
Extracting Rheological Properties of Deformable Objects with Haptic Vision
In this paper, we propose a novel approach to extracting rheological properties of deformable objects based on Haptic vision, which was proposed for vision-based automatic constru...
Naoki Ueda, Kiyotaka Kushihama, Shin-iti Hirai, Hi...
NETWORK
2006
302views more  NETWORK 2006»
14 years 10 months ago
Node clustering in wireless sensor networks: recent developments and deployment challenges
The large-scale deployment of wireless sensor networks (WSNs) and the need for data aggregation necessitate efficient organization of the network topology for the purpose of balan...
Ossama Younis, Marwan Krunz, Srinivasan Ramasubram...
EI
2011
100views more  EI 2011»
13 years 10 months ago
A time-triggered object tracking subsystem for advanced driver assistance systems
— Multi-sensor object tracking is an important feature for advanced driver assistance systems in future automobiles. Most state-of-the-art systems cannot guarantee deterministic ...
Wilfried Elmenreich, M. Koplin