The Perception Machine

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The Perception Machine

Author : Joanna Zylinska
Publisher : MIT Press
ISBN 13 : 0262546833
Total Pages : 288 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis The Perception Machine by : Joanna Zylinska

Download or read book The Perception Machine written by Joanna Zylinska and published by MIT Press. This book was released on 2023-11-07 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A provocative investigation of the future of photography and human perception in the age of AI. We are constantly photographing and being photographed while feeding machine learning databases with our data, which in turn is used to generate new images. Analyzing the transformation of photography by computation—and the transformation of human perception by algorithmically driven images, from CGI to AI—The Perception Machine investigates what it means for us to live surrounded by image flows and machine eyes. In an astute and engaging argument, Joanna Zylinska brings together media theory and neuroscience in a Vilém Flusser–Paul Virilio remix. Her “perception machine” names a technical universe of images and their infrastructures. But it also refers to a sociopolitical condition resulting from today’s automation of vision, imaging—and imagination. Written by a theorist-practitioner, the book incorporates Zylinska’s own art projects, some of which have been co-created with AI. The photographs, collages, films, and installations available as part of the book (and its companion website) provide a different mode of thinking about our technological futures, at a local as well as a planetary level. Offering provocative concepts such as eco-eco-punk, AUTO-FOTO-KINO, planetary micro-vision, loser images, and sensography, the book outlines an existential philosophy of messy media for a time when our practices of imaging and self-imaging are being radically redesigned. Importantly, it also offers a new vision of our future.

Machine Understanding

Author : Zbigniew Les
Publisher : Springer
ISBN 13 : 3030240703
Total Pages : 215 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Machine Understanding by : Zbigniew Les

Download or read book Machine Understanding written by Zbigniew Les and published by Springer. This book was released on 2019-08-01 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book discusses machine understanding (MU). This new branch of classic machine perception research focuses on perception that leads to understanding and is based on the categories of sensory objects. In this approach the visual and non-visual knowledge, in the form of visual and non-visual concepts, is used in the complex reasoning process that leads to understanding. The book presents selected new concepts, such as perceptual transformations, within the machine understanding framework, and uses perceptual transformations to solve perceptual problems (visual intelligence tests) during understanding, where understanding is regarded as an ability to solve complex visual problems described in the authors’ previous books. Thanks to the uniqueness of the research topics covered, the book appeals to researchers from a wide range of disciplines, especially computer science, cognitive science and philosophy.

Neural Networks for Perception

Author : Harry Wechsler
Publisher : Academic Press
ISBN 13 : 1483262790
Total Pages : 384 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Neural Networks for Perception by : Harry Wechsler

Download or read book Neural Networks for Perception written by Harry Wechsler and published by Academic Press. This book was released on 2014-05-10 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks for Perception, Volume 2: Computation, Learning, and Architectures explores the computational and adaptation problems related to the use of neuronal systems, and the corresponding hardware architectures capable of implementing neural networks for perception and of coping with the complexity inherent in massively distributed computation. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The text is organized into two sections. The first section, computation and learning, discusses topics on learning visual behaviors, some of the elementary theory of the basic backpropagation neural network architecture, and computation and learning in the context of neural network capacity. The second section is on hardware architecture. The chapters included in this part of the book describe the architectures and possible applications of recent neurocomputing models. The Cohen-Grossberg model of associative memory, hybrid optical/digital architectures for neorocomputing, and electronic circuits for adaptive synapses are some of the subjects elucidated. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.

Machine Learning and Visual Perception

Author : Baochang Zhang
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 311059322X
Total Pages : 176 pages
Book Rating : 4.1/5 (15 download)

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Book Synopsis Machine Learning and Visual Perception by : Baochang Zhang

Download or read book Machine Learning and Visual Perception written by Baochang Zhang and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-07-06 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides an up-to-date on machine learning and visual perception, including decision tree, Bayesian learning, support vector machine, AdaBoost, object detection, compressive sensing, deep learning, and reinforcement learning. Both classic and novel algorithms are introduced. With abundant practical examples, it is an essential reference to students, lecturers, professionals, and any interested lay readers.

Machine Learning And Perception

Author : Guido Tascini
Publisher : World Scientific
ISBN 13 : 9814547921
Total Pages : 218 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Machine Learning And Perception by : Guido Tascini

Download or read book Machine Learning And Perception written by Guido Tascini and published by World Scientific. This book was released on 1996-05-06 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: As perception stands for the acquisition of a real world representation by interaction with an environment, learning is the modification of this internal representation.This book highlights the relation between perception and learning and describes the influence of the learning in the interaction with the environment.Besides, this volume contains a series of applications of both machine learning and perception, where the former is often embedded in the latter and vice-versa.Among the topics covered, there are visual perception for autonomous robots, model generation of visual patterns, attentional reasoning, genetic approaches and various categories of neural networks.

Human and Machine Perception 3

Author : Virginio Cantoni
Publisher : Springer Science & Business Media
ISBN 13 : 1461513618
Total Pages : 247 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Human and Machine Perception 3 by : Virginio Cantoni

Download or read book Human and Machine Perception 3 written by Virginio Cantoni and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: The following are the proceedings of the Fourth International Workshop on Human and Machine Perception held in Palermo, Italy, on June 20 -23, 2000, under the auspices of three Institutions: the Cybernetic and Biophysics Group (GNCB) of the Italian National Research Council (CNR) and the two Inter-Department Centers of Cognitive Sciences of Palermo and Pavia University respectively. A broad spectrum of topics are covered in this series, ranging from computer perception to psychology and physiology of perception. The theme of this workshop on Human and Machine Perception was focused on Thinking, Deciding, and Acting. As in the past editions the final goal has been the analysis and the comparison of biological and artificial solutions. The focus of the lectures has been on presenting the state-of-the-art and outlining open questions. In particular, they sought to stress links, suggesting possible synergies between the different cultural areas. The panel discussion has been conceived as a forum for an open debate, briefly introduced by each panelist, and mainly aimed at deeper investigation of the different approaches to perception and strictly related topics. The panelists were asked to prepare a few statements on hot-points as a guide for discussion. These statements were delivered to the participants together with the final program, for a more qualified discussion.

Structured Computer Vision

Author : S Tanimoto
Publisher : Elsevier
ISBN 13 : 0323159265
Total Pages : 246 pages
Book Rating : 4.3/5 (231 download)

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Book Synopsis Structured Computer Vision by : S Tanimoto

Download or read book Structured Computer Vision written by S Tanimoto and published by Elsevier. This book was released on 2014-08-05 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structured Computer Vision

Human and Machine Perception

Author : V. Cantoni
Publisher :
ISBN 13 :
Total Pages : 352 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Human and Machine Perception by : V. Cantoni

Download or read book Human and Machine Perception written by V. Cantoni and published by . This book was released on 1997 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Spoken Language Understanding

Author : Gokhan Tur
Publisher : John Wiley & Sons
ISBN 13 : 1119993946
Total Pages : 443 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Spoken Language Understanding by : Gokhan Tur

Download or read book Spoken Language Understanding written by Gokhan Tur and published by John Wiley & Sons. This book was released on 2011-05-03 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book covers the state-of-the-art approaches for the most popular SLU tasks with chapters written by well-known researchers in the respective fields. Key features include: Presents a fully integrated view of the two distinct disciplines of speech processing and language processing for SLU tasks. Defines what is possible today for SLU as an enabling technology for enterprise (e.g., customer care centers or company meetings), and consumer (e.g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key research areas. Provides a unique source of distilled information on methods for computer modeling of semantic information in human/machine and human/human conversations. This book can be successfully used for graduate courses in electronics engineering, computer science or computational linguistics. Moreover, technologists interested in processing spoken communications will find it a useful source of collated information of the topic drawn from the two distinct disciplines of speech processing and language processing under the new area of SLU.

Graph-based Keyword Spotting

Author : Stauffer Michael
Publisher : World Scientific
ISBN 13 : 9811206643
Total Pages : 296 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Graph-based Keyword Spotting by : Stauffer Michael

Download or read book Graph-based Keyword Spotting written by Stauffer Michael and published by World Scientific. This book was released on 2019-07-24 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document.This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching.Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.

Fundamentals Of Robotics: Linking Perception To Action

Author : Xie Ming
Publisher : World Scientific Publishing Company
ISBN 13 : 9813102349
Total Pages : 716 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis Fundamentals Of Robotics: Linking Perception To Action by : Xie Ming

Download or read book Fundamentals Of Robotics: Linking Perception To Action written by Xie Ming and published by World Scientific Publishing Company. This book was released on 2003-04-11 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tomorrow's robots, which includes the humanoid robot, can perform task like tutoring children, working as tour guides, driving humans to and from work, do the family shopping etc. Tomorrow's robots will enhance lives in ways we never dreamed possible. No time to attend the decisive meeting on Asian strategy? Let your robot go for you and make the decisions. Not feeling well enough to go to the clinic? Let Dr Robot come to you, make a diagnosis, and get you the necessary medicine for treatment. No time to coach the soccer team this week? Let the robot do it for you.Tomorrow's robots will be the most exciting and revolutionary things to happen to the world since the invention of the automobile. It will change the way we work, play, think, and live. Because of this, nowadays robotics is one of the most dynamic fields of scientific research. These days, robotics is offered in almost every university in the world. Most mechanical engineering departments offer a similar course at both the undergraduate and graduate levels. And increasingly, many computer and electrical engineering departments are also offering it.This book will guide you, the curious beginner, from yesterday to tomorrow. The book will cover practical knowledge in understanding, developing, and using robots as versatile equipment to automate a variety of industrial processes or tasks. But, the book will also discuss the possibilities we can look forward to when we are capable of creating a vision-guided, learning machine.

Hidden Markov Models

Author : Horst Bunke
Publisher : World Scientific
ISBN 13 : 9814491470
Total Pages : 244 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Hidden Markov Models by : Horst Bunke

Download or read book Hidden Markov Models written by Horst Bunke and published by World Scientific. This book was released on 2001-06-04 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area of computer vision as well. This book is a collection of articles on new developments in the theory of HMMs and their application in computer vision. It addresses topics such as handwriting recognition, shape recognition, face and gesture recognition, tracking, and image database retrieval. This book is also published as a special issue of the International Journal of Pattern Recognition and Artificial Intelligence (February 2001). Contents: Introduction: A Simple Complex in Artificial Intelligence and Machine Learning (B H Juang)An Introduction to Hidden Markov Models and Bayesian Networks (Z Chahramani)Multi-Lingual Machine Printed OCR (P Natarajan et al.)Using a Statistical Language Model to Improve the Performance of an HMM-Based Cursive Handwriting Recognition System (U-V Marti & H Bunke)A 2-D HMM Method for Offline Handwritten Character Recognition (H-S Park et al.)Data-Driven Design of HMM Topology for Online Handwriting Recognition (J J Lee et al.)Hidden Markov Models for Modeling and Recognizing Gesture Under Variation (A D Wilson & A F Bobick)Sentence Lipreading Using Hidden Markov Model with Integrated Grammar (K Yu et al.)Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model (H H Bui et al.)Shape Tracking and Production Using Hidden Markov Models (T Caelli et al.)An Integrated Approach to Shape and Color-Based Image Retrieval of Rotated Objects Using Hidden Markov Models (S Müller et al.) Readership: Graduate students of computer science, electrical engineering and related fields, as well as researchers at academic and industrial institutions. Keywords:Hidden Markov Models;Gesture Recognitoin;Bayesian Networks;Optical Character Recognition;Handwriting Character Recognition;Cartography;Shape Extraction;Image Feature Extraction.

Data Mining With Decision Trees: Theory And Applications (2nd Edition)

Author : Maimon Oded Z
Publisher : World Scientific
ISBN 13 : 9814590096
Total Pages : 328 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Data Mining With Decision Trees: Theory And Applications (2nd Edition) by : Maimon Oded Z

Download or read book Data Mining With Decision Trees: Theory And Applications (2nd Edition) written by Maimon Oded Z and published by World Scientific. This book was released on 2014-09-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.This book invites readers to explore the many benefits in data mining that decision trees offer:

Machines Who Think

Author : Pamela McCorduck
Publisher : CRC Press
ISBN 13 : 1040083102
Total Pages : 313 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machines Who Think by : Pamela McCorduck

Download or read book Machines Who Think written by Pamela McCorduck and published by CRC Press. This book was released on 2004-03-17 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a history of artificial intelligence, that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry.

Human and Machine Perception

Author : Virginio Cantoni
Publisher : Springer Science & Business Media
ISBN 13 : 1461559650
Total Pages : 329 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Human and Machine Perception by : Virginio Cantoni

Download or read book Human and Machine Perception written by Virginio Cantoni and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: The following are th€:" proceedings of the Second International Workshop on Human and Machine Perception held in Trabia, Italy, on July 21~25, 1996, under the auspices of two Institutions: the Cybernetic and Biophysics Group (GNCB) of the Italian National Research Council (CNR) and the 'Centro Interdipartimentale di Tecnologie della Conoscenza' ofPalenno University. A broad spectrum of topics are covered in this series, ranging from computer perception to psychology and physiology of perception (visual, auditory, tactile, etc.). The theme of this workshop was: "Human and Machine Perception: Information Fusion". The goal of information and sensory data fusion is to integrate internal knowledge with complementary and/or redundant information from many sensors to achieve (and maintain) a better knowledge of the environment. The mechanism behind the integration of information is one of the most difficult challenges in understanding human and robot perception. The workshop consisted of a pilot phase of eight leCtures introducing perception sensorialities in nature and artificial systems, and of five subsequent modules each consisting of two lectures (dealing with solutions in nature and machines respectively) and a panel discussion.

Deep Learning for Robot Perception and Cognition

Author : Alexandros Iosifidis
Publisher : Academic Press
ISBN 13 : 0323885721
Total Pages : 638 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Deep Learning for Robot Perception and Cognition by : Alexandros Iosifidis

Download or read book Deep Learning for Robot Perception and Cognition written by Alexandros Iosifidis and published by Academic Press. This book was released on 2022-02-04 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Perception-Action Cycle

Author : Vassilis Cutsuridis
Publisher : Springer Science & Business Media
ISBN 13 : 1441914528
Total Pages : 785 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Perception-Action Cycle by : Vassilis Cutsuridis

Download or read book Perception-Action Cycle written by Vassilis Cutsuridis and published by Springer Science & Business Media. This book was released on 2011-02-02 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: The perception-action cycle is the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behaviour towards a goal. Each action causes changes in the environment that are analyzed bottom-up through the perceptual hierarchy and lead to the processing of further action, top-down through the executive hierarchy, toward motor effectors. These actions cause new changes that are analyzed and lead to new action, and so the cycle continues. The Perception-action cycle: Models, architectures and hardware book provides focused and easily accessible reviews of various aspects of the perception-action cycle. It is an unparalleled resource of information that will be an invaluable companion to anyone in constructing and developing models, algorithms and hardware implementations of autonomous machines empowered with cognitive capabilities. The book is divided into three main parts. In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and memory, planning and action, and consciousness grounded on experimental data. In the second part, architectures, algorithms, and systems with cognitive capabilities and minimal guidance from the brain, are discussed. These architectures, algorithms, and systems are inspired from the areas of cognitive science, computer vision, robotics, information theory, machine learning, computer agents and artificial intelligence. In the third part, the analysis, design and implementation of hardware systems with robust cognitive abilities from the areas of mechatronics, sensing technology, sensor fusion, smart sensor networks, control rules, controllability, stability, model/knowledge representation, and reasoning are discussed.