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We propose a technique for producing `visual explanations' for decisions from a large class of Convolutional Neural Network (CNN)-based models, making them more transparent. Our approach - Gradient-weighted Class Activat...

Abstract This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book...

Computational properties of use of biological organisms or to the construction of computers can emerge as collective properties of systems having a large number of simple equivalent components (or neurons). The physical ...

Networking together hundreds or thousands of cheap microsensor nodes allows users to accurately monitor a remote environment by intelligently combining the data from the individual nodes. These networks require robust wi...

In this paper, we discuss consensus problems for networks of dynamic agents with fixed and switching topologies. We analyze three cases: 1) directed networks with fixed topology; 2) directed networks with switching topol...

From the Publisher: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques fo...

Existing deep convolutional neural networks (CNNs) require a fixed-size (e.g., 224 × 224) input image. This requirement is "artificial" and may reduce the recognition accuracy for the images or sub-images of an arbitrar...

The central building block of convolutional neural networks (CNNs) is the convolution operator, which enables networks to construct informative features by fusing both spatial and channel-wise information within local re...

Convolutional neural networks are built upon the convolution operation, which extracts informative features by fusing spatial and channel-wise information together within local receptive fields. In order to boost the rep...

Rectified activation units (rectifiers) are essential for state-of-the-art neural networks. In this work, we study rectifier neural networks for image classification from two aspects. First, we propose a Parametric Recti...

The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward by investigating the construc...

Bowling Alone: America’s Declining Social Capital Robert D. Putnam (bio) Many students of the new democracies that have emerged over the past decade and a half have emphasized the importance of a strong and active civi...

Preface to the Second Edition. Preface to the First Edition. Acknowledgments for the Second Edition. Acknowledgments for the First Edition. 1. Introduction and Preview. 1.1 Preview of the Book. 2. Entropy, Relative Entro...

Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implicitly by its effects on processing rather tha...

List of Boxes List of Tables and Figures Foreword Acknowledgments 1. Defining Content Analysis Is Content Analysis Easy? Is It Something That Anyone Can Do? A Six-Part Definition of Content Analysis 2. Milestones in the ...

Prediction tasks over nodes and edges in networks require careful effort in engineering features used by learning algorithms. Recent research in the broader field of representation learning has led to significant progres...

Materias / palabras clave: industrial networks, intelligent systems, cloud-based networks, sensor networks, communication networks; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer h...

Materias / palabras clave: network intelligence, neural networks, general networks, network learning, network optimization, software publication; Technology: Technology (General): Industrial engineering. Management engineering: Information technol...

Materias / palabras clave: wireless communication, information security, mobile communication, sensor/adhoc/vehicular networks, microwave antenna and propagation, optical communication and networks; Technology: Electrical engineering. Electronics....

Materias / palabras clave: machine learning, randomized learning, neural networks, stochastic configuration networks, industrial data modelling, internet industry; Science: Mathematics: Instruments and machines: Electronic computers. Computer scie...

Materias / palabras clave: artificial intelligence, practical and innovative uses of iot networks, networks of smart objects, cyber–physical systems, augmented reality and virtual reality in iot, iot-enabled devices; Science: Mathematics: Instru...

Materias / palabras clave: social networks, personal networks, social support, social capital; Social Sciences: Social sciences (General)

Materias / palabras clave: complex networks, systems engineering, control theory, operations research, artificial intelligence, cybernetics; Technology: Mechanical engineering and machinery: Control engineering systems. Automatic machinery (Genera...

Materias / palabras clave: signal processing for communication, communication systems, communication networks, image and video processing, biomedical signal processing, optical signal processing; Technology: Mechanical engineering and machinery: C...