New Advances in Intelligent Signal Processing
The carefully edited chapters deal with fuzzy relation based image enhancement, image contrast control technique based on the application of Łukasiewicz algebra operators, low complexity situationalmodels of image quality mprovement, flexible representation of map images to quantum computers, and ob...
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2011, 2011
|
| Edition: | 1st ed. 2011 |
| Series: | Studies in Computational Intelligence
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Formulation of Fuzzy Random Regression Model
- Evolutionary Multiobjective Neural Network Models Identification: Evolving Task-Optimised Models
- Structural Learning Model of the Neural Network and its Application to LEDs Signal Retrofit
- Robustness of DNA-based Clustering
- Advances in automated neonatal seizure detection
- Design of Fuzzy Relation-Based Image Sharpeners
- Application of Fuzzy Logic and Lukasiewicz Operators for Image Contrast Control
- Low Complexity Situational Models in Image Quality Improvement
- A flexible representation and invertible transformations for images on quantum computers
- Weakly supervised learning: application to fish school recognition
- Intelligent Spaces as Assistive Environments: Visual fall detection using an evolutive algorithm