An evolutionary platform for retargetable image and signal processing applications
Explore this paper's citation graph
Summary
The derived simulation and synthesized results show that the proposed cognitive processing model on evolutionary platform attains better performance than those of the conventional methods.
- Type
- article
- Published
- 2008-01-01
- Cited by
- 0
- References
- 190
- OpenAlex
- https://openalex.org/W2517428847
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:113689294
Keywords
Computer science, Image processing, Information processing, Cognition, Artificial intelligence
References
- Supervised Semantic Scene Classification Based on Low-Level Clustering and Relevance Feedback
- Self-supervised Monocular Road Detection in Desert Terrain
- Adaptive Modelling, Estimation and Fusion from Data
- Connectionism and the Mind: Parallel Processing, Dynamics, and Evolution in Networks
- Optimization of the Backpropagation Algorithm for Training Multilayer Perceptrons
- Neural Network Training Using Genetic Algorithms
- Stochastic dynamics and high capacity associative memories
- Adaptive Filter Theory
- Optimal batch asynchronous fusion algorithm
- A simple approach to Bayesian network computations
- A Combined Clustering and Neural Network Approach for Analog Multiple Hard Fault Classification
- Automatic Programming of Behavior-Based Robots Using Reinforcement Learning
- Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
- Advanced fuzzy systems design and applications
- Identifying Nonlinear Model Structures Using Genetic Programming Techniques
- Neural Networks - A Systematic Introduction
- Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty
- Design of optimal hybrid form FIR filter
- Digital Signal Processing: System Analysis and Design
- Introduction to artificial neural systems
Cited by
No citing papers recorded for this paper.
Related papers
- A holistic and adaptive approach for automated prototyping of image processing functionality
- A Bottom-up Approach for Visual Object Recognition on FPGA based Embedded Multiprocessor Architecture
- Development of Collaborative Research Initiatives to Advance the Aerospace Sciences-via the Communications, Electronics, Information Systems Focus Group
- Heterogeneous parallel processor for a model-based vision system
- Knowledge Based Image Processing
- Computer modeling and simulation techniques for computer vision problems
- Real-Time Adaptive Object Detection and Tracking for Autonomous Vehicles
- Using the deep neural networks for normal and abnormal situation recognition in the automatic access monitoring and control system of vehicles