Add to ORKGBibliography: leaves 112-121.This thesis reports on the process of implementing pattern recognition systems using classification models such as artificial neural networks (ANNs) and algorithms whose theoretical foundations come from statistics. The issues involved in implementing several classification models and pre-processing operators - that are applied to patterns before classification takes place - are discussed and a methodology that is commonly used in developing pattern recognition systems is described. In addition, a number of pattern recognition systems for two image recognition problems that occur in the field of image matching have been developed. These image recognition problems and the issues involved in solving them are descr...
This thesis presents vision-based state estimation algorithms for autonomous vehicles to navigate wi...
Pengesanan hujung jari merupakan salah satu alat input yang penting dalam Penglihatan Komputer. Hasi...
The clustering algorithms are widely used as an unsupervised method for image segmentation in medica...
The need for computers to make educated decisions is growing. Various methods have been developed fo...
Ship detection remains an important challenge within the government and the commercial industry. Cur...
No abstract available.The original print copy of this thesis may be available here: http://wizard.un...
Neural networks, trained with the backpropagation algorithm have: been applied to various classifica...
The representation of 2 Satisfiability problem or 2SAT is increasingly viewed as a significant logic...
There are many multiple-model (MM) target-tracking algorithms that are available but there has yet ...
Problems associated with the processing and statistical analysis of image data are the subject of mu...
The ability to detect the onset of welding instability is a very powerful tool in welding process mo...
Machine learning models have achieved impressive predictive performance in various applications such...
Convolutional Neural Networks (CNN) are regarded as the state-of-the-art approach in image classific...
Successful retrieval of relevant images from large-scale image collections is one of the current pro...
The use of data mining algorithms for applied practice is becoming commonplace in many industries. T...
This thesis presents vision-based state estimation algorithms for autonomous vehicles to navigate wi...
Pengesanan hujung jari merupakan salah satu alat input yang penting dalam Penglihatan Komputer. Hasi...
The clustering algorithms are widely used as an unsupervised method for image segmentation in medica...
The need for computers to make educated decisions is growing. Various methods have been developed fo...
Ship detection remains an important challenge within the government and the commercial industry. Cur...
No abstract available.The original print copy of this thesis may be available here: http://wizard.un...
Neural networks, trained with the backpropagation algorithm have: been applied to various classifica...
The representation of 2 Satisfiability problem or 2SAT is increasingly viewed as a significant logic...
There are many multiple-model (MM) target-tracking algorithms that are available but there has yet ...
Problems associated with the processing and statistical analysis of image data are the subject of mu...
The ability to detect the onset of welding instability is a very powerful tool in welding process mo...
Machine learning models have achieved impressive predictive performance in various applications such...
Convolutional Neural Networks (CNN) are regarded as the state-of-the-art approach in image classific...
Successful retrieval of relevant images from large-scale image collections is one of the current pro...
The use of data mining algorithms for applied practice is becoming commonplace in many industries. T...
This thesis presents vision-based state estimation algorithms for autonomous vehicles to navigate wi...
Pengesanan hujung jari merupakan salah satu alat input yang penting dalam Penglihatan Komputer. Hasi...
The clustering algorithms are widely used as an unsupervised method for image segmentation in medica...