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» A Neural Network Architecture for Visual Selection
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JCP
2008
190views more  JCP 2008»
13 years 7 months ago
Real-time System Identification of Unmanned Aerial Vehicles: A Multi-Network Approach
In this paper, real-time system identification of an unmanned aerial vehicle (UAV) based on multiple neural networks is presented. The UAV is a multi-input multi-output (MIMO) nonl...
Vishwas R. Puttige, Sreenatha G. Anavatti
RAS
2007
113views more  RAS 2007»
13 years 7 months ago
Visual novelty detection with automatic scale selection
This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two dif...
Hugo Vieira Neto, Ulrich Nehmzow
WAPCV
2004
Springer
14 years 27 days ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
SBRN
1998
IEEE
13 years 11 months ago
A Neural Architecture for the Identification of Number Sequences
This paper describes an architecture based on spatiotemporal networks that identifies sequences of numbers. This architecture incorporates an input layer that transforms (by means...
Juan Moreno García, Gabriel Sebastiá...
NPL
1998
129views more  NPL 1998»
13 years 7 months ago
Extraction of Logical Rules from Neural Networks
A new architecture and method for feature selection and extraction of logical rules from neural networks trained with backpropagation algorithm is presented. The network consists ...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...