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» Sum-Product Networks: A New Deep Architecture
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IISWC
2008
IEEE
13 years 11 months ago
A workload for evaluating deep packet inspection architectures
—High-speed content inspection of network traffic is an important new application area for programmable networking systems, and has recently led to several proposals for high-per...
Michela Becchi, Mark A. Franklin, Patrick Crowley
ICPR
2010
IEEE
13 years 8 months ago
The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking
This work introduces a new pattern recognition model for segmenting and tracking lip contours in video sequences. We formulate the problem as a general nonrigid object tracking me...
Gustavo Carneiro, Jacinto Nascimento
JMLR
2010
151views more  JMLR 2010»
12 years 11 months ago
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Xavier Glorot, Yoshua Bengio
JMLR
2010
106views more  JMLR 2010»
12 years 11 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
ECAI
2010
Springer
13 years 6 months ago
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Ludovic Arnold, Hélène Paugam-Moisy,...