This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …

Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

A recent paper posed the question:" Graph Matching: What are we really talking about?". Far
from providing a definite answer to that question, in this paper we will try to characterize the …

Graph matching (GM) is a fundamental problem in computer science, and it plays a central
role to solve correspondence problems in computer vision. GM problems that incorporate …

The maximum clique problem is a classical problem in combinatorial optimization which
finds important applications in different domains. In this paper we try to give a survey of …

Graphs provide us with a powerful and flexible representation formalism which can be
employed in various fields of intelligent information processing. The process of evaluating …

As a fundamental problem in pattern recognition, graph matching has applications in a
variety of fields, from computer vision to computational biology. In graph matching, patterns …

Graph matching is essential in several fields that use structured information, such as biology,
chemistry, social networks, knowledge management, document analysis and others. Except …

This work studies the unsupervised re-ranking procedure for object retrieval and person re-
identification with a specific concentration on an ensemble of multiple metrics (or …