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CVPR
2010
IEEE
15 years 2 months ago
An Online Approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene
Learning the knowledge of scene structure and tracking a large number of targets are both active topics of computer vision in recent years, which plays a crucial role in surveilla...
Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui,...
DAGSTUHL
2009
14 years 11 months ago
Using Architecture Models to Support the Generation and Operation of Component-Based Adaptive Systems
Modelling architectural information is particularly important because of the acknowledged crucial role of software architecture in raising the level of abstraction during developme...
Nelly Bencomo, Gordon S. Blair
IJCV
2008
188views more  IJCV 2008»
14 years 9 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
IJIPT
2008
191views more  IJIPT 2008»
14 years 9 months ago
ARPM: Agent-based Routing Protocol for MANET
Mobile ad-hoc networks (MANETs) are infrastructure-less networks where no central network management exists, composed of mobile nodes over wireless links. Network topology in MANE...
Helen Bakhsh, Manal Abdullah
CSL
2007
Springer
14 years 9 months ago
Speaker-adaptive learning of resonance targets in a hidden trajectory model of speech coarticulation
A novel speaker-adaptive learning algorithm is developed and evaluated for a hidden trajectory model of speech coarticulation and reduction. Central to this model is the process o...
Dong Yu, Li Deng, Alex Acero