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» Managing Complexity in Large Learning Robotic Systems
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CVPR
2007
IEEE
14 years 10 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
JMLR
2007
137views more  JMLR 2007»
13 years 7 months ago
Building Blocks for Variational Bayesian Learning of Latent Variable Models
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...
MKM
2009
Springer
14 years 2 months ago
Exploring a Quantum Theory with Graph Rewriting and Computer Algebra
Graphical languages provide a powerful tool for describing the behaviour of quantum systems. While the use of graphs vastly reduces the complexity of many calculations [4,10], manu...
Aleks Kissinger
RE
2002
Springer
13 years 7 months ago
On the Use of Visualization in Formal Requirements Specification
A limiting factor in the industrial acceptance of formal specifications is their readability, particularly for large, complex engineering systems. We hypothesize that multiple vis...
Nicolas Dulac, Thomas Viguier, Nancy G. Leveson, M...
ICDAR
2009
IEEE
14 years 2 months ago
Learning and Adaptation for Improving Handwritten Character Recognizers
Writer independent handwriting recognition systems are limited in their accuracy, primarily due the large variations in writing styles of most characters. Samples from a single ch...
Naveen Chandra Tewari, Anoop M. Namboodiri