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» Bayesian MLP neural networks for image analysis
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ICIAP
2005
ACM
15 years 9 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
NN
2008
Springer
150views Neural Networks» more  NN 2008»
14 years 9 months ago
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
Martyn Fletcher, Bojian Liang, Leslie Smith, Alast...
ICDAR
2011
IEEE
13 years 9 months ago
Subgraph Spotting through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images
—We present a method for spotting a subgraph in a graph repository. Subgraph spotting is a very interesting research problem for various application domains where the use of a re...
Muhammad Muzzamil Luqman, Jean-Yves Ramel, Josep L...
64
Voted
BC
2005
65views more  BC 2005»
14 years 9 months ago
A field-theoretic approach to understanding scale-free neocortical dynamics
Amesoscopicfield-theoreticapproachiscompared with neural network and brain imaging approaches to understanding brain dynamics. Analysis of high spatiotemporal resolution rabbit ele...
Walter J. Freeman
CVPR
2004
IEEE
15 years 11 months ago
Bayesian Fusion of Camera Metadata Cues in Semantic Scene Classification
Semantic scene classification based only on low-level vision cues has had limited success on unconstrained image sets. On the other hand, camera metadata related to capture condit...
Matthew R. Boutell, Jiebo Luo