Unsupervised neural networks for the identification of minimum overcomplete basis in visual data
- 1 August 2002
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 47 (1-4) , 119-143
- https://doi.org/10.1016/s0925-2312(01)00583-5
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Feature Extraction Through LOCOCODENeural Computation, 1999
- Rectified gaussian distributions and the identification of multiple cause structure in dataPublished by Institution of Engineering and Technology (IET) ,1999
- Constrained PCA techniques for the identification of common factors in dataNeurocomputing, 1998
- Modelling multiple-cause structure using rectification constraintsNetwork: Computation in Neural Systems, 1998
- Generative models for discovering sparse distributed representationsPhilosophical Transactions Of The Royal Society B-Biological Sciences, 1997
- Development of low entropy coding in a recurrent networkNetwork: Computation in Neural Systems, 1996
- Neural NetworksPublished by Taylor & Francis ,1996
- Competition and Multiple Cause ModelsNeural Computation, 1995
- What Is the Goal of Sensory Coding?Neural Computation, 1994
- Finding Minimum Entropy CodesNeural Computation, 1989