Support vector machine (SVM) is a robust machine learning model with high classification
accuracy. SVM is widely utilized for online classification in various real-time embedded …

Cascade support vector machines (SVMs) are optimized to efficiently handle problems,
where the majority of the data belong to one of the two classes, such as image object …

Abstract Support Vector Machine (SVM) is a robust machine learning model that shows high
accuracy with different classification problems, and is widely used for various embedded …

This paper presents an approach to enhance the performance of machine learning
applications based on hardware acceleration. This approach is based on parameterised …

Support Vector Machine (SVM) is a common classifier used for efficient classification with
high accuracy. SVM shows high accuracy for classifying melanoma (skin cancer) clinical …

Melanoma is the most dangerous form of skin cancer, which is responsible for the majority of
skin cancer-related deaths. Early diagnosis of melanoma can significantly reduce mortality …

We present a novel framework for designing multiplierless kernel machines that can be used
on resource-constrained platforms such as intelligent edge devices. The framework uses a …

In this work, we design a machine learning based method–online adaptive primal support
vector regression (SVR)–to model the implied volatility surface (IVS). The algorithm …

Melanoma is the most aggressive form of skin cancer which is responsible for the majority of
skin cancer related deaths. Recently, image-based Computer Aided Diagnosis (CAD) …

Abstract Field Programmable Gate Arrays (FPGAs) are integrated circuits that can be
configured by the user after manufacturing, making them suitable for customized hardware …