Attention-driven Pattern Recognition
Author: Fabrizio Smeraldi
Publisher:
Published: 2000
Total Pages: 102
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Fabrizio Smeraldi
Publisher:
Published: 2000
Total Pages: 102
ISBN-13:
DOWNLOAD EBOOKAuthor: Ziyan Wu
Publisher: Springer
Published: 2016-09-08
Total Pages: 107
ISBN-13: 3319409913
DOWNLOAD EBOOKThis book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. The primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in real-world scenarios. This book also includes detailed discussions on pedestrian candidates detection, discriminative feature extraction and selection, dimension reduction, distance/metric learning, and decision/ranking enhancement.This book is intended for professionals and researchers working in computer vision and machine learning. Advanced-level students of computer science will also find the content valuable.
Author: Shiqi Yu
Publisher: Springer Nature
Published: 2022-10-27
Total Pages: 752
ISBN-13: 3031189167
DOWNLOAD EBOOKThe 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
Author: Eileen C. Schwab
Publisher: Elsevier
Published: 2013-09-11
Total Pages: 260
ISBN-13: 1483259617
DOWNLOAD EBOOKPattern Recognition by Humans and Machines, Volume 2: Visual Perception provides information pertinent to the fundamental aspects of research on perception. This book focuses on several fundamental problems of pattern recognition in speech perception and visual form perception. Organized into seven chapters, this volume begins with an overview of some of the basic theoretical questions in speech perception. This text then explores the spatiotemporal orchestration of visuosensory attentional and oculomotor processes involved in active visual exploration. Other chapters consider several basic questions concerning visual form perception, including the perception of patterns and features. This book discusses as well the role of eye movements in pattern processing and models of segmentation and pattern recognition. The final chapter describes the distinctions made in perceptual processing between model-driven and data-driven processing. This book is a valuable resource for psychologists in general and specialists in the field of perception. Computer and cognitive scientists will also find this book useful.
Author: Nick Lund
Publisher: Routledge
Published: 2002-01-04
Total Pages: 150
ISBN-13: 1134570252
DOWNLOAD EBOOKWhilst attention is a term commonly used in everyday life, for many years psychologists have struggled in their attempts to explain what it actually means. Attention and Pattern Recognition introduces the main psychological research on attention and the methods that have been used to study it. It also examines the subdivisions of focused and divided attention and explores how people recognise patterns and faces. The Routledge Modular Psychology series is a completely new approach to introductory level psychology, tailor made to the new modular style of teaching. Each short book covers a topic in more detail than any large textbook can, allowing teacher and student to select material exactly to suit any particular course or project. The books have been written especially for those students new to higher level study, whether at school home, college or university. They include specially designed features to help with technique, such as model essay at an average level with an examiners comments to show how extra marks can be gained. The authors are all examiners and teachers at introductory level.
Author: Seong-Whan Lee
Publisher: Springer
Published: 2003-08-02
Total Pages: 433
ISBN-13: 3540456651
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002, held in Niagara Falls, Canada in August 2002.The 16 revised full papers and 14 poster papers presented together with two invited contributions were carefully reviewed and selected from 57 full paper submissions. The papers presented span the whole range of topics in pattern recognition with support vector machines from computational theories to implementations and applications.
Author: Matei Mancas
Publisher: Springer
Published: 2016-06-29
Total Pages: 456
ISBN-13: 149393435X
DOWNLOAD EBOOKThis both accessible and exhaustive book will help to improve modeling of attention and to inspire innovations in industry. It introduces the study of attention and focuses on attention modeling, addressing such themes as saliency models, signal detection and different types of signals, as well as real-life applications. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering and computer science, amongst other disciplines. What is attention? We all pay attention every single moment of our lives. Attention is how the brain selects and prioritizes information. The study of attention has become incredibly complex and divided: this timely volume assists the reader by drawing together work on the computational aspects of attention from across the disciplines. Those working in the field as engineers will benefit from this book’s introduction to the psychological and biological approaches to attention, and neuroscientists can learn about engineering work on attention. The work features practical reviews and chapters that are quick and easy to read, as well as chapters which present deeper, more complex knowledge. Everyone whose work relates to human perception, to image, audio and video processing will find something of value in this book, from students to researchers and those in industry.
Author: Albert Nigrin
Publisher: MIT Press
Published: 1993
Total Pages: 450
ISBN-13: 9780262140546
DOWNLOAD EBOOKIn a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues to a new level. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nigrin expands on these networks to present fundamentally new architectures that perform realtime pattern classification of embedded and synonymous patterns and that will aid in tasks such as vision, speech recognition, sensor fusion, and constraint satisfaction. Nigrin presents the new architectures in two stages. First he presents a network called Sonnet 1 that already achieves important properties such as the ability to learn and segment continuously varied input patterns in real time, to process patterns in a context sensitive fashion, and to learn new patterns without degrading existing categories. He then removes simplifications inherent in Sonnet 1 and introduces radically new architectures. These architectures have the power to classify patterns that may have similar meanings but that have different external appearances (synonyms). They also have been designed to represent patterns in a distributed fashion, both in short-term and long-term memory.
Author: Lucas Paletta
Publisher: Springer
Published: 2007-12-03
Total Pages: 507
ISBN-13: 3540773436
DOWNLOAD EBOOKThis volume provides a much-needed interdisciplinary angle on the subject of attention in cognitive systems. It constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Attention in Cognitive Systems, held in Hyderabad, India, in January 2007. The 31 papers are organized in topical sections that cover every aspect of the subject, from the embodiment of attention and its cognitive control, to the applications of attentive vision.
Author: Lei Wang
Publisher: Springer Nature
Published: 2023-03-08
Total Pages: 546
ISBN-13: 3031263480
DOWNLOAD EBOOKThe 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods.