Lanterna Rally
eBook PDF Download Digital Library
Machine Learning And Perception
Author: Guido Tascini
Publisher: World Scientific
Published: 1996-05-06
Total Pages: 218
ISBN-13: 9814547921
DOWNLOAD EBOOK →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.
Perception and Machine Intelligence
Author: Malay K. Kundu
Publisher: Springer
Published: 2012-01-12
Total Pages: 394
ISBN-13: 3642273874
DOWNLOAD EBOOK →This book constitutes the proceedings of the First Indo-Japanese conference on Perception and Machine Intelligence, PerMIn 2012, held in Kolkata, India, in January 2012. The 41 papers, presented together with 1 keynote paper and 3 plenary papers, were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections named perception; human-computer interaction; e-nose and e-tongue; machine intelligence and application; image and video processing; and speech and signal processing.
Machine Learning and Visual Perception
Author: Baochang Zhang
Publisher: Walter de Gruyter GmbH & Co KG
Published: 2020-07-06
Total Pages: 152
ISBN-13: 3110595567
DOWNLOAD EBOOK →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.
Deep Learning for Robot Perception and Cognition
Author: Alexandros Iosifidis
Publisher: Academic Press
Published: 2022-02-04
Total Pages: 638
ISBN-13: 0323885721
DOWNLOAD EBOOK →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
From Humans To Computers: Cognition Through Visual Perception
Author: Victor V Alexandrov
Publisher: World Scientific
Published: 1991-06-25
Total Pages: 217
ISBN-13: 9814506788
DOWNLOAD EBOOK →This book considers computer vision to be an integral part of the artificial intelligence system. The core of the book is an analysis of possible approaches to the creation of artificial vision systems, which simulate human visual perception. Much attention is paid to the latest achievements in visual psychology and physiology, the description of the functional and structural organization of the human perception mechanism, the peculiarities of artistic perception and the expression of reality. Computer vision models based on these data are investigated. They include the processes of external data analysis, internal environmental model synthesis, and the generating of behavioristic responses based on external and internal models comparison. Computer vision system evolution resulting from environmental effects is also considered. A unique feature of this book is the authors' use of black and white, and colour prints of traditional and contemporary Russian art to illustrate their principal theses. In doing so, they introduce the reader to a particularly Russian view of the world.
Machine Learning and Robot Perception
Author: Bruno Apolloni
Publisher: Springer Science & Business Media
Published: 2005-09-14
Total Pages: 370
ISBN-13: 9783540265498
DOWNLOAD EBOOK →This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.
Perception and Machine Intelligence
Author: Malay K. Kundu
Publisher: Springer Science & Business Media
Published: 2012-01-19
Total Pages: 394
ISBN-13: 3642273866
DOWNLOAD EBOOK →This book constitutes the proceedings of the First Indo-Japanese conference on Perception and Machine Intelligence, PerMIn 2012, held in Kolkata, India, in January 2012. The 41 papers, presented together with 1 keynote paper and 3 plenary papers, were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections named perception; human-computer interaction; e-nose and e-tongue; machine intelligence and application; image and video processing; and speech and signal processing.
Machine Learning and Visual Perception
Author: Baochang Zhang
Publisher: Walter de Gruyter GmbH & Co KG
Published: 2020-07-06
Total Pages: 176
ISBN-13: 311059322X
DOWNLOAD EBOOK →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.
Artificial Intelligence Methods in Software Testing
Author: Horst Bunke
Publisher: World Scientific
Published: 2004
Total Pages: 221
ISBN-13: 9812794751
DOWNLOAD EBOOK →An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applications of artificial intelligence and data mining methods to quality assurance of complex software systems, and to encourage further research in this important and challenging area. Contents: Fuzzy CauseOCoEffect Models of Software Testing (W Pedrycz & G Vukovich); Black-Box Testing with Info-Fuzzy Networks (M Last & M Friedman); Automated GUI Regression Testing Using AI Planning (A M Memon); Test Set Generation and Reduction with Artificial Neural Networks (P Saraph et al.); Three-Group Software Quality Classification Modeling Using an Automated Reasoning Approach (T M Khoshgoftaar & N Seliya); Data Mining with Resampling in Software Metrics Databases (S Dick & A Kandel). Readership: Students, researchers and professionals in computer science, information systems, software testing and data mining."
