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CVPR
2008
IEEE
15 years 27 days ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
BSN
2009
IEEE
145views Sensor Networks» more  BSN 2009»
14 years 5 months ago
Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information
—Falls are dangerous for the aged population as they can adversely affect health. Therefore, many fall detection systems have been developed. However, prevalent methods only use ...
Qiang Li, John A. Stankovic, Mark A. Hanson, Adam ...
ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
14 years 5 months ago
Dogged Learning for Robots
— Ubiquitous robots need the ability to adapt their behaviour to the changing situations and demands they will encounter during their lifetimes. In particular, non-technical user...
Daniel H. Grollman, Odest Chadwicke Jenkins
MM
2004
ACM
117views Multimedia» more  MM 2004»
14 years 4 months ago
Optimized mesh and texture multiplexing for progressive textured model transmission
An optimized scheme of multiplexing coded mesh and texture data to facilitate progressive transmission of 3D textured models is proposed in this work. The mesh and texture data of...
Sheng Yang, Chao-Hua Lee, C. C. Jay Kuo
ECCV
1992
Springer
14 years 3 months ago
Data and Model-Driven Selection using Color Regions
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper w...
Tanveer Fathima Syeda-Mahmood