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» On Deep Generative Models with Applications to Recognition
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MM
2004
ACM
229views Multimedia» more  MM 2004»
14 years 2 months ago
Generating 3D views of facial expressions from frontal face video based on topographic analysis
In this paper, we report our newly developed 3D face modeling system with arbitrary expressions in a high level of detail using the topographic analysis and mesh instantiation pro...
Lijun Yin, Kenny Weiss
BMCBI
2010
113views more  BMCBI 2010»
13 years 8 months ago
Unifying generative and discriminative learning principles
Background: The recognition of functional binding sites in genomic DNA remains one of the fundamental challenges of genome research. During the last decades, a plethora of differe...
Jens Keilwagen, Jan Grau, Stefan Posch, Marc Stric...
WCE
2007
13 years 9 months ago
Automatic State Machine Induction for String Recognition
—One problem of generating a model to recognize any string is how to generate one that is generalized enough to accept strings with similar patterns and, at the same time, is spe...
Boontee Kruatrachue, Nattachat Pantrakarn, Kritawa...
CVPR
2006
IEEE
14 years 10 months ago
Principled Hybrids of Generative and Discriminative Models
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...