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» Learning the Relative Importance of Features in Image Data
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122
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JMLR
2010
169views more  JMLR 2010»
14 years 10 months ago
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
Deep belief nets have been successful in modeling handwritten characters, but it has proved more difficult to apply them to real images. The problem lies in the restricted Boltzma...
Marc'Aurelio Ranzato, Alex Krizhevsky, Geoffrey E....
178
Voted
BMCBI
2005
126views more  BMCBI 2005»
15 years 3 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
156
Voted
IEAAIE
2005
Springer
15 years 9 months ago
Movement Prediction from Real-World Images Using a Liquid State Machine
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
Harald Burgsteiner, Mark Kröll, Alexander Leo...
IJPRAI
2008
144views more  IJPRAI 2008»
15 years 3 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
144
Voted
PG
2002
IEEE
15 years 8 months ago
Combining 2D Feature Tracking and Volume Reconstruction for Online Video-Based Human Motion Capture
The acquisition of human motion data is of major importance for creating interactive virtual environments, intelligent user interfaces, and realistic computer animations. Today’...
Christian Theobalt, Marcus A. Magnor, Pascal Sch&u...