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ICCV
2009
IEEE
13 years 5 months ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
INFOCOM
2012
IEEE
11 years 10 months ago
Spectrum trading with insurance in cognitive radio networks
—Market based spectrum trading has been extensively studied to realize efficient spectrum utilization in cognitive radio networks (CRNs). In this paper, we utilize the concept o...
Haiming Jin, Gaofei Sun, Xinbing Wang, Qian Zhang
CVPR
2008
IEEE
14 years 10 months ago
Simultaneous clustering and tracking unknown number of objects
In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects...
Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda
ICWN
2008
13 years 9 months ago
Progressive Content-Sensitive Data Retrieval in Sensor Networks
: Problem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data)...
Bo Yang, Mareboyana Manohar, Shaoying Kou