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150
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JMLR
2010
143views more  JMLR 2010»
14 years 10 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
145
Voted
TSP
2010
14 years 10 months ago
Reduced feedback schemes using random beamforming in MIMO broadcast channels
A random beamforming scheme for the Gaussian MIMO broadcast channel with channel quality feedback is investigated and extended. Considering the case where the receivers each have r...
Matthew Pugh, Bhaskar D. Rao
148
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Beyond bag of words: Combining generative and discriminative models for natural scene categorization
This paper proposes a simple yet new and effective framework by combining generative model and discriminative model for natural scene categorization. A state-of-the-art approach f...
Zhen Li, Kim-Hui Yap, Xiao-Ming Chen
132
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Horror video scene recognition via Multiple-Instance learning
Along with the ever-growing Web comes the proliferation of objectionable content, such as pornography, violence, horror information, etc. Horror videos, whose threat to childrens ...
Jianchao Wang, Bing Li, Weiming Hu, Ou Wu
128
Voted
IJSEKE
2011
141views more  IJSEKE 2011»
14 years 7 months ago
Risk Assessment in Multi-disciplinary (Software+) Engineering Projects
Software systems in safety-critical industrial automation systems, such as power plants and steel mills, become increasingly large, complex, and distributed. For assessing risks, l...
Stefan Biffl, Thomas Moser, Dietmar Winkler