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» Theory and applications of neural maps
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ICCV
2011
IEEE
13 years 9 months ago
Dense Disparity Maps from Sparse Disparity Measurements
In this work we propose a method for estimating disparity maps from very few measurements. Based on the theory of Compressive Sensing, our algorithm accurately reconstructs dispar...
Simon Hawe, Martin Kleinsteuber, Klaus Diepold
IROS
2008
IEEE
250views Robotics» more  IROS 2008»
15 years 3 months ago
Mobile robot broadband sound localisation using a biologically inspired spiking neural network
— A biologically inspired azimuthal broadband sound localisation system is introduced to simulates the functional organisation of the human auditory midbrain up to the inferior c...
Jindong Liu, Harry R. Erwin, Stefan Wermter
ACL
2007
14 years 11 months ago
Fast Semantic Extraction Using a Novel Neural Network Architecture
We describe a novel neural network architecture for the problem of semantic role labeling. Many current solutions are complicated, consist of several stages and handbuilt features...
Ronan Collobert, Jason Weston
ISMB
1993
14 years 10 months ago
Protein Classification Using Neural Networks
Wehave recently described a method based on Artificial Neural Networksto cluster protein sequences into families. The network was trained with Kohonen’s unsupervised-learning al...
Edgardo A. Ferrán, Pascual Ferrara, Bernard...
MICCAI
2003
Springer
15 years 10 months ago
Area-Preserving Mappings for the Visualization of Medical Structures
Abstract. In this note, we present a method for flattening anatomical surfaces such as branched vessels and intestinal tracts in an areapreserving way. This method is based on the ...
Lei Zhu, Steven Haker, Allen Tannenbaum