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ICPR
2008
IEEE
15 years 10 months ago
2D and 3D upper body tracking with one framework
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
Lei Zhang, Jixu Chen, Zhi Zeng, Qiang Ji
150
Voted
MICCAI
2007
Springer
15 years 10 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
105
Voted
DATE
2006
IEEE
114views Hardware» more  DATE 2006»
15 years 9 months ago
A built-in redundancy-analysis scheme for RAMs with 2D redundancy using 1D local bitmap
Built-in self-repair (BISR) technique is gaining popular for repairing embedded memory cores in system-onchips (SOCs). To increase the utilization of memory redundancy, the BISR t...
Tsu-Wei Tseng, Jin-Fu Li, Da-Ming Chang
151
Voted
WISE
2006
Springer
15 years 9 months ago
2D/3D Web Visualization on Mobile Devices
Abstract. Visualization is able to present the rich Web information intuitively and make the Web search/mining more productive. Mobile computing is able to provide the flexibility...
Yi Wang, Li-Zhu Zhou, Jianhua Feng, Lei Xie, Chun ...
CVPR
2010
IEEE
15 years 9 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia