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» A SIMD Neural Network Processor for Image Processing
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ICIP
2003
IEEE
14 years 9 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis
IJCNN
2006
IEEE
14 years 1 months ago
Training of Large-Scale Feed-Forward Neural Networks
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
Udo Seiffert

Book
996views
15 years 5 months ago
The Scientist and Engineer's Guide to Digital Signal Processing
"The world of science and engineering is filled with signals: images from remote space probes, voltages generated by the heart and brain, radar and sonar echoes, seismic vibra...
Steve Smith
ICIP
2003
IEEE
14 years 9 months ago
Approximation of color characterization MLUTS with artificial neural networks
MLUTs used in color characterization require significant memory for embedded systems. Most tools that create device characterization maps, use MLUTs. For this reason, there is int...
Michael J. Vrhel
FGR
2000
IEEE
123views Biometrics» more  FGR 2000»
14 years 2 days ago
A Fast and Accurate Face Detector for Indexation of Face Images
Detecting faces in images with complex backgrounds is a difficult task. Our approach, which obtains state of the art results, is based on a generative neural network model: the C...
Raphaël Feraud, Olivier Bernier, Jean-Emmanue...