Maximum likelihood neural networks for sensor fusion and adaptive classification
- 1 January 1991
- journal article
- Published by Elsevier in Neural Networks
- Vol. 4 (1) , 89-102
- https://doi.org/10.1016/0893-6080(91)90035-4
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- A massively parallel architecture for a self-organizing neural pattern recognition machinePublished by Elsevier ,2005
- Neural dynamics of adaptive timing and temporal discrimination during associative learningNeural Networks, 1989
- Cramer-Rao bounds for the estimation of normal mixturesPattern Recognition Letters, 1989
- Neural network models for pattern recognition and associative memoryNeural Networks, 1989
- Cramer-Rao bounds for the estimation of means in a clustering problemPattern Recognition Letters, 1988
- Noise, histogram and cluster validity for Gaussian-mixtured dataPattern Recognition, 1987
- A Learning Algorithm for Boltzmann Machines*Cognitive Science, 1985
- The quantized geometry of visual space: The coherent computation of depth, form, and lightnessBehavioral and Brain Sciences, 1983