A modular neural network for super-resolution of human faces
β Scribed by Manuel Carcenac
- Book ID
- 106347723
- Publisher
- Springer US
- Year
- 2007
- Tongue
- English
- Weight
- 931 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0924-669X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This article presents new neural network (NN) architecture to improve its ability for grade estimation. The main aim of this study is to use a specific NN which has a simpler architecture and consequently achieve a better solution. Most of the commonly used NNs have a fully established connection am
## Abstract Numerous approaches to superβresolution (SR) of sequentially observed images (image sequence) of low resolution (LR) have been presented in the past two decades. However, neural network methods are almost ignored for solving SR problems. This is because the SR problem traditionally has
This paper presents a fuzzy hybrid learning algorithm (FHLA) for the radial basis function neural network (RBFNN). The method determines the number of hidden neurons in the RBFNN structure by using cluster validity indices with majority rule while the characteristics of the hidden neurons are initia