"This book provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, sig…
The electricity supply system includes a large-scale power generation installation and a convoluted network of electrical circuits that work together to efficiently and reliably supply electricity to consumers. Faults in the electricity distribution network have a direct effect …
In regard to human history, it isn’t that long since forecasting transitioned from the spiritual and mythical components into the scientific domain. In recent years, forecasting has become an integral part of the mathematical analysis. It has a wide range of significance in vari…
Although desktops and laptops have historically composed the bulk of botnet nodes, Internet of Things (IoT) devices have become more recent targets. Lightbulbs, outdoor cameras, watches, and many other small items are connected to WiFi and each other; and few have well-developed…
Automated analysis of facial expressions has remained an interesting and challenging research topic in the field of computer vision and pattern recognition due to vast applications such as human-machine interface design, social robotics, and developmental psychology. This disser…
Support Vector Machines are a machine learning approach that is well studied, thoroughly vetted and effective in a large number of applications. The objective of this thesis is to accelerate an implementation of Support Vector Machines (SVM) using a heterogeneous computing syste…
Predictive maintenance aims to minimize the downtime due to maintenance, while simultaneously minimizing the risk of unforeseen failures. Efforts in predictive maintenance have been focused on predicting the remaining useful life of a machine. There is need for a more comprehens…
Mammography is used to aid early detection and diagnosis systems. It takes an x-ray image of the breast and can provide a second opinion for radiologists. The earlier detection is made, the better treatment works. Digital mammograms are dealt with by Computer Aided Diagnosis (CA…
The objective of this project was to apply machine learning methods to determine protein secondary structure content and protein fold class from ROA and Raman vibrational spectral data. Raman and ROA are sensitive to biomolecular structure with the bands of each spectra correspo…
Gelişen araç teknolojileri ile birlikte sürücüye yardımcı olacak sistemler ön plana çıkmaktadır. Bu sistemler sürüş emniyetini ve konforunu artırmak için gün geçtikçe daha fazla araca entegre edilmektedir. Sürücüye yardımcı olan bu sistemler bir yandan da otonom araçlar için öne…
The learning methodology -- Linear learning machines -- Kernal-induced feature spaces -- Generalisation theory -- Optimisation theory -- Support vector machines -- Implementation techniques -- Application of support vector machines.
This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written ch…
A comprehensive introduction to this recent method for machine learning and data mining.
