Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …

Nanophotonics has garnered intensive attention due to its unique capabilities in molding the
flow of light in the subwavelength regime. Metasurfaces (MSs) and photonic integrated …

A new edition of a graduate-level machine learning textbook that focuses on the analysis
and theory of algorithms. This book is a general introduction to machine learning that can …

This chapter provides an introduction to support vector machines, kernel Fisher discriminant
analysis, and kernel principal component analysis as examples for successful kernel-based …

In recent years, a variety of nonlinear dimensionality reduction techniques have been
proposed that aim to address the limitations of traditional techniques such as PCA. The …

Supervised learning aims to build a function or model that seeks as many map**s as
possible between the training data and outputs, where each training data will predict as a …

Since the introduction of support vector machines, we have witnessed the huge
development in theory, models, and applications of what is so-called kernel-based methods …

Spectral graph theoretic methods have recently shown great promise for the problem of
image segmentation. However, due to the computational demands of these approaches …

Abstract Generative Adversarial networks (GANs) have obtained remarkable success in
many unsupervised learning tasks and unarguably, clustering is an important unsupervised …

In recent years, a variety of nonlinear dimensionality reduction techniques have been
proposed that aim to address the limitations of traditional techniques such as PCA and …