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Author: A. Kennedy
Publisher: Elsevier
ISBN: 0080515762
Category : Psychology
Languages : en
Pages : 771
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Book Description
This book is divided into five sections dealing with various fundamental issues in current research: attention, information processing and eye movement control; the role of phonology in reading; syntax and discourse processing and computational models and simulations. Control and measurement of eye movements form a prominent theme in the book. A full understanding of the where and when of eye movement control is a prerequisite of any complete theory of reading, since it is precisely at this point that perceptual and cognitive processes interact. Amongst the 'hot topics' included are the relation between parafoveal and foveal visual processing of linguistic information, the role of phonology in fluent reading and the emergence of statistical 'tuning' approaches to sentence parsing.Also discussed in the book are three attempts to develop quantitative models of reading which represent a significant departure in theory-building and a quantum step in the maturation of reading research. Much of the work reported in the book was first presented at the 5th European Workshop on Language Comprehension organised in April 1998 which was held at the CNRS Luminy Campus, near Marseilles. All contributions summarise the state-of-the-art in the relevant areas of reading research.
Author: A. Kennedy
Publisher: Elsevier
ISBN: 0080515762
Category : Psychology
Languages : en
Pages : 771
Get Book Here
Book Description
This book is divided into five sections dealing with various fundamental issues in current research: attention, information processing and eye movement control; the role of phonology in reading; syntax and discourse processing and computational models and simulations. Control and measurement of eye movements form a prominent theme in the book. A full understanding of the where and when of eye movement control is a prerequisite of any complete theory of reading, since it is precisely at this point that perceptual and cognitive processes interact. Amongst the 'hot topics' included are the relation between parafoveal and foveal visual processing of linguistic information, the role of phonology in fluent reading and the emergence of statistical 'tuning' approaches to sentence parsing.Also discussed in the book are three attempts to develop quantitative models of reading which represent a significant departure in theory-building and a quantum step in the maturation of reading research. Much of the work reported in the book was first presented at the 5th European Workshop on Language Comprehension organised in April 1998 which was held at the CNRS Luminy Campus, near Marseilles. All contributions summarise the state-of-the-art in the relevant areas of reading research.
Author: Gérard Govaert
Publisher: John Wiley & Sons
ISBN: 1118649508
Category : Computers
Languages : en
Pages : 246
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Book Description
Cluster or co-cluster analyses are important tools in a variety of scientific areas. The introduction of this book presents a state of the art of already well-established, as well as more recent methods of co-clustering. The authors mainly deal with the two-mode partitioning under different approaches, but pay particular attention to a probabilistic approach. Chapter 1 concerns clustering in general and the model-based clustering in particular. The authors briefly review the classical clustering methods and focus on the mixture model. They present and discuss the use of different mixtures adapted to different types of data. The algorithms used are described and related works with different classical methods are presented and commented upon. This chapter is useful in tackling the problem of co-clustering under the mixture approach. Chapter 2 is devoted to the latent block model proposed in the mixture approach context. The authors discuss this model in detail and present its interest regarding co-clustering. Various algorithms are presented in a general context. Chapter 3 focuses on binary and categorical data. It presents, in detail, the appropriated latent block mixture models. Variants of these models and algorithms are presented and illustrated using examples. Chapter 4 focuses on contingency data. Mutual information, phi-squared and model-based co-clustering are studied. Models, algorithms and connections among different approaches are described and illustrated. Chapter 5 presents the case of continuous data. In the same way, the different approaches used in the previous chapters are extended to this situation. Contents 1. Cluster Analysis. 2. Model-Based Co-Clustering. 3. Co-Clustering of Binary and Categorical Data. 4. Co-Clustering of Contingency Tables. 5. Co-Clustering of Continuous Data. About the Authors Gérard Govaert is Professor at the University of Technology of Compiègne, France. He is also a member of the CNRS Laboratory Heudiasyc (Heuristic and diagnostic of complex systems). His research interests include latent structure modeling, model selection, model-based cluster analysis, block clustering and statistical pattern recognition. He is one of the authors of the MIXMOD (MIXtureMODelling) software. Mohamed Nadif is Professor at the University of Paris-Descartes, France, where he is a member of LIPADE (Paris Descartes computer science laboratory) in the Mathematics and Computer Science department. His research interests include machine learning, data mining, model-based cluster analysis, co-clustering, factorization and data analysis. Cluster Analysis is an important tool in a variety of scientific areas. Chapter 1 briefly presents a state of the art of already well-established as well more recent methods. The hierarchical, partitioning and fuzzy approaches will be discussed amongst others. The authors review the difficulty of these classical methods in tackling the high dimensionality, sparsity and scalability. Chapter 2 discusses the interests of coclustering, presenting different approaches and defining a co-cluster. The authors focus on co-clustering as a simultaneous clustering and discuss the cases of binary, continuous and co-occurrence data. The criteria and algorithms are described and illustrated on simulated and real data. Chapter 3 considers co-clustering as a model-based co-clustering. A latent block model is defined for different kinds of data. The estimation of parameters and co-clustering is tackled under two approaches: maximum likelihood and classification maximum likelihood. Hard and soft algorithms are described and applied on simulated and real data. Chapter 4 considers co-clustering as a matrix approximation. The trifactorization approach is considered and algorithms based on update rules are described. Links with numerical and probabilistic approaches are established. A combination of algorithms are proposed and evaluated on simulated and real data. Chapter 5 considers a co-clustering or bi-clustering as the search for coherent co-clusters in biological terms or the extraction of co-clusters under conditions. Classical algorithms will be described and evaluated on simulated and real data. Different indices to evaluate the quality of coclusters are noted and used in numerical experiments.
Author: Lazaros Iliadis
Publisher: Springer Nature
ISBN: 3030487911
Category : Computers
Languages : en
Pages : 630
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Book Description
This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors. One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.
Author: A. L. Yarbus
Publisher: Springer
ISBN: 1489953795
Category : Medical
Languages : en
Pages : 234
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Book Description
Author: Reginald B. Adams
Publisher: Oxford University Press
ISBN: 0195333179
Category : Psychology
Languages : en
Pages : 502
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Book Description
The human visual system is particularly attuned to and remarkably efficient at processing social cues. This text examines the functional and neuroanatomical mechanisms which underpin social vision.
Author: Takahiko Masuda
Publisher:
ISBN:
Category :
Languages : en
Pages : 172
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Book Description
Author: Meinard Müller
Publisher: Springer
ISBN: 3319219456
Category : Computers
Languages : en
Pages : 509
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Book Description
This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses—in a mathematically rigorous way—important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book’s goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities.
Author: Keith Rayner
Publisher: Elsevier
ISBN: 0323146287
Category : Language Arts & Disciplines
Languages : en
Pages : 552
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Book Description
Eye Movements in Reading: Perceptual and Language Processes focuses on eye movement and cognitive processes as a way to study the reading process. This book also discusses the different aspects of reading. Organized into seven parts encompassing 26 chapters, this book begins with a discussion on the perceptual and psychophysical factors essential to eye movement during reading. This book then explains how some psychophysical factors, such as type size and masking, affect the reading performance. Other chapters consider the role of transient and sustained cells, as well as their possible effects on reading. This text also examines the size of the perceptual span in reading and the integration of information across eye movement. Finally, this book explains the eye movement abnormalities, general eye movement parameters, and the cognitive processes within the reading disabled group. This book is a valuable resource to optometrists, scientists, field researchers, and readers who are interested in the reading process.
Author: Li Zhaoping
Publisher: Oxford University Press, USA
ISBN: 0199564663
Category : Medical
Languages : en
Pages : 397
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Book Description
Vision science has grown hugely in the past decades, but there have been few books showing readers how to adopt a computional approach to understanding visual perception, along with the underlying mechanisms in the brain. This book explains the computational principles and models of biological visual processing, and in particular, primate vision.
Author: Ralph Radach
Publisher: Elsevier
ISBN: 0080518923
Category : Science
Languages : en
Pages : 763
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Book Description
The book provides a comprehensive state-of-the-art overview of current research on cognitive and applied aspects of eye movements. The contents include peer-reviewed chapters based on a selection of papers presented at the 11th European Conference on Eye Movements (Turku, Finland 2001), supplemented by invited contributions. The ECEM conference series brings together researchers from various disciplines with an interest to use eye-tracking to study perceptual and higher order cognitive functions. The contents of the book faithfully reflect the scope and diversity of interest in eye-tracking as a fruitful tool both in basic and applied research. It consists of five sections: visual information processing and saccadic eye movements; empirical studies of reading and language production; computational models of eye movements in reading; eye-tracking as a tool to study human-computer interaction; and eye movement applications in media and communication research. Each section is concluded by a commentary chapter by one of the leading authorities in the field. These commentaries discuss and integrate the contributions in the section and provide an expert view on the most significant present and future developments in the respective areas. The book is a reference volume including a large body of new empirical work but also principal theoretical viewpoints of leading research groups in the field.
