Evolutionary Computation (EC) approaches are inspired by nature and solve optimization
problems in a stochastic manner. They can offer a reliable and effective approach to address …

Adiabatic quantum computing (AQC) started as an approach to solving optimization
problems and has evolved into an important universal alternative to the standard circuit …

In 1963, Polyak proposed a simple condition that is sufficient to show a global linear
convergence rate for gradient descent. This condition is a special case of the Łojasiewicz …

Computer networks have been experienced ever-increasing growth since they play a critical
role in different aspects of human life. Regarding the vulnerabilities of computer networks …

Face detection is one of the most studied topics in computer vision literature, not only
because of the challenging nature of face as an object, but also due to the countless …

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 …

We address the problem of image search on a very large scale, where three constraints
have to be considered jointly: the accuracy of the search, its efficiency, and the memory …

Constructions work Page 1 Constructions work ADELE E. GOLDBERG1 Abstract This paper
provides responses to the points raised in this volume in an e¤ort to evaluate, clarify and …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

This package includes both Mathematical Statistics: Basic Ideas and Selected Topics,
Volume I, Second Edition, as well as Mathematical Statistics: Basic Ideas and Selected …