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» Some Solutions to the Missing Feature Problem in Vision
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PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
14 years 7 months ago
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space
Data stream classification poses many challenges, most of which are not addressed by the state-of-the-art. We present DXMiner, which addresses four major challenges to data stream ...
Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Kh...
ICPR
2010
IEEE
14 years 11 months ago
Lipreading: A Graph Embedding Approach
In this paper, we propose a novel graph embedding method for the problem of lipreading. To characterize the temporal connections among video frames of the same utterance, a new di...
Ziheng Zhou, Guoying Zhao, Matti Pietikäinen
CVPR
2009
IEEE
16 years 4 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni
IWANN
2009
Springer
15 years 4 months ago
Agents Jumping in the Air: Dream or Reality?
Mobile agent technology has traditionally been recognized as a very useful approach to build applications for mobile computing and wireless environments. However, only a few studie...
Oscar Urra, Sergio Ilarri, Eduardo Mena
ICCV
2003
IEEE
15 years 11 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...