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» Data Reduction Using Multiple Models Integration
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CVPR
2003
IEEE
15 years 11 months ago
Using Multiple Cues for Hand Tracking and Model Refinement
We present a model based approach to the integration of multiple cues for tracking high degree of freedom articulated motions and model refinement. We then apply it to the problem...
Shan Lu, Dimitris N. Metaxas, Dimitris Samaras, Jo...
3DIM
2005
IEEE
15 years 3 months ago
3D Modeling of Outdoor Environments by Integrating Omnidirectional Range and Color Images
This paper describes a 3D modeling method for wide area outdoor environments which is based on integrating omnidirectional range and color images. In the proposed method, outdoor ...
Toshihiro Asai, Masayuki Kanbara, Naokazu Yokoya
PAMI
2011
14 years 4 months ago
Multiple Kernel Learning for Dimensionality Reduction
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
ISCA
2011
IEEE
229views Hardware» more  ISCA 2011»
14 years 1 months ago
TLSync: support for multiple fast barriers using on-chip transmission lines
As the number of cores on a single-chip grows, scalable barrier synchronization becomes increasingly difficult to implement. In software implementations, such as the tournament ba...
Jungju Oh, Milos Prvulovic, Alenka G. Zajic
ICPR
2006
IEEE
15 years 10 months ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong