Computer Vision Systems

In 1959, the electronics manufacturer Stromberg-Carlson produced the S-C 4020, a device that allowed mainframe computers to present and preserve images. In the mainframe era, the output of text and im

In the early days of computer science, the interactions of hardware, software, compilers, and operating system were simple enough to allow students to see an overall picture of how computers worked. W

Complex communicating computer systems -- computers connected by data networks and inconstant communication with their environments -- do not always behave as expected. This bookintroduces behavioral

In 1936, when he was just twenty-four years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers. This grou

This monograph by one of the world's leading vision researchers provides a thorough, mathematically rigorous exposition of a broad and vital area in computer vision: the problems and techniques relat

A new vision of the brain as a fully integrated, networked organ.Popular neuroscience accounts often focus on specific mind-brain aspects like addiction, cognition, or memory, but The Entangled Brain tackles a much bigger question: What kind of object is the brain? Neuroscientist Luiz Pessoa describes the brain as a highly networked, interconnected system that cannot be neatly decomposed into a set of independent parts. One can’t point to the brain and say, “This is where emotion happens” (or any other mental faculty). Pessoa argues that only by understanding how large-scale neural circuits combine multiple and diverse signals can we truly appreciate how the brain supports the mind.Presenting the brain as an integrated organ and drawing on neuroscience, computation, mathematics, systems theory, and evolution, The Entangled Brain explains how brain functions result from cross-cutting brain processing, not the function of segregated areas. Parts of the brain work in a coordinated fashion

An introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience.Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots―autonomous systems modeled after some aspect of the brain―offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science.Neurorobotics covers

An accessible guide to cybersecurity for the everyday user, covering cryptography and public key infrastructure, malware, blockchain, and other topics.It seems that everything we touch is connected to the internet, from mobile phones and wearable technology to home appliances and cyber assistants. The more connected our computer systems, the more exposed they are to cyber attacks--attempts to steal data, corrupt software, disrupt operations, and even physically damage hardware and network infrastructures. In this volume of the MIT Press Essential Knowledge series, cybersecurity expert Duane Wilson offers an accessible guide to cybersecurity issues for everyday users, describing risks associated with internet use, modern methods of defense against cyber attacks, and general principles for safer internet use. Wilson describes the principles that underlie all cybesecurity defense: confidentiality, integrity, availability, authentication, authorization, and non-repudiation (validating the

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intellige

Our growing dependence on increasingly complex computer and software systems necessitates the development of formalisms, techniques, and tools for assessing functional properties of these systems. On

Contributions to this edition of Computer Methods have been extensively revised and contain much new material-updating the proceedings of a conference held in 1964 at the Joint Center for Urban Studie

"This book provides the most holistic approach to the history of the development of programming and computer systems so far written. By embedding this history in a sociological and political context,

In the early days of computer science, the interactions of hardware, software, compilers, and operating system were simple enough to allow students to see an overall picture of how computers worked. W

Solving Geometric Constraints records and explains the formal basis for graphical analysis techniques that have been used for decades in engineering disciplines. It describes a novel computer implemen

No new product offering has had greater impact on the computer industry than the IBM System/360. "IBM's 360 and Early 370 Systems "describes the creation of this remarkable system and the developments

Modularity—the attempt to understand systems as integrations of partially independent and interacting units—is today a dominant theme in the life sciences, cognitive science, and computer

The shift in the practice of human-computer interaction (HCI) Design from user-centered to context-based design marks a significant change in focus. With context-based design, designers start not wit

The computer systems of government agencies are notoriously complex. New technologiesare piled on older technologies, creating layers that call to mind an archaeological dig. Obsoleteprogramming langu

Research in systems biology requires the collaboration of researchers from diversebackgrounds, including biology, computer science, mathematics, statistics, physics, andbiochemistry. These collaborati

Machine learning develops intelligent computer systems that are able to generalizefrom previously seen examples. A new domain of machine learning, in which the prediction mustsatisfy the additional co

State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure. Machine learning develops intelligent computer systems that are able to genera

Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collabor

Modularity - the attempt to understand systems as integrations of partially independent and interacting units - is today a dominant theme in the life sciences, cognitive science, and computer science.

The study of type systems for programming languages now touches many areas of computer science, from language design and implementation to software engineering, network security, databases, and analy

A sociological approach to the history of proof, as applied to and performed by computer systems.

In recent years, many approximate methods have been developed for analyzing queueing models of complex computer systems. These ad hoc methods usually focus on specific aspects of system operation, and

Too often, designers of computer systems, both hardware and software, use models and concepts that focus on the artifact while ignoring the context in which the artifact will be used. According to thi

Computer systems consisting of many machines will be the norm within a few years. However, making a collection of machines appear as a single, coherent system - in which the location of files, servers

Two important subproblems of computer vision are the detection and recognition of 2D objects in gray-level images. This book discusses the construction and training of models, computational approache

Computational finance, an exciting new cross-disciplinary research area, draws extensively on the tools and techniques of computer science, statistics, information systems, and financial economics. Th

Too often, designers of computer systems, both hardware and software, use models and concepts that focus on the artifact while ignoring the context in which the artifact will be used. According to th

Designing Information Technology in the Postmodern Age puts thetheoretical discussion of computer systems and information technology on a new footing. Shifting thediscourse from its usual rationalisti

Computer-Mediated Communication (CMC) technologies such as electronic mail, bulletin board services, computer conferencing systems, and the World Wide Web are having a profound effect on education. L

Chapters focus on four interrelated areas: applications and algorithms, device technology, architecture and systems, and software technology. Building a computer ten times more powerful than all the

Along with text and graphics, images are fast becoming a generic data type forgeneral-purpose computer systems. This poses new problems for the systems designer, who must be ableto preprocess digital