This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homology and the Mapper algorithm, the authors explore the intricate structures and behaviors of fully connected feedforward and convolutional neural networks.The authors discuss various strategies for extracting topological information from data and neural networks, synthesizing insights...

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies us...

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis.Topics and features:Provides numerous pr...

This book revises and expands upon the prior edition of Multi-Modal Face Presentation Attack Detection. The authors begin with fundamental and foundational information on face spoofing attack detection, explaining why the computer vision community has intensively studied it for the last decade. The authors also discuss the reasons that cause face anti-spoofing to be essential for preventing security breaches in face recognition systems. In addition, the book describes the factors ...

This work presents a full generic approach to the detection and recognition of traffic signs. The approach is based on the latest computer vision methods for object detection, and on powerful methods for multiclass classification. The challenge was to robustly detect a set of different sign classes in real time, and to classify each detected sign into a large, extensible set of classes. To address this challenge, several state-of-the-art methods were developed that can be used for differen...

La Norma UNE-ISO 31000:2018 proporciona directrices para gestionar el riesgo al que se enfrentan las organizaciones, y está dirigida a las personas que crean y protegen el valor en las mismas gestionando riesgos, tomando decisiones, estableciendo y logrando objetivos y mejorando el desempeño.Esta guía pretende facilitar la comprensión y aplicación de la norma, cuyo contenido se reproduce, a través de explicaciones y ejemplos. Su principal objetivo es aclarar al lector las definicio...

Como los grandes pintores, nosotros también queríamos hacer un gran libro, que por motivos de espacio y edición se ha convertido en tres, y sumando los granitos de arena de los treinta autores que lo componen, hemos creado un gran castillo de treinta y siete plantas/capítulos, con tres sedes, que nos cuentan una bonita historia barroca que se extiende desde finales del siglo XVI hasta ayer, cuando cualquier imagen, ya sea naturalista, barroca, clásico-barroca, preciosista, de Olot, de repo...

Teatro contra el bullying El bullying o acoso escolar constituye una de las grandes plagas de nuestro tiempo. En la actualidad cada vez existe más conciencia del problema, pero durante mucho tiempo se practicó, y sobre todo se sufrió, en secreto. ¿Cómo se sobrevive al acoso escolar? ¿Qué secuelas deja, incluso mucho tiempo después de experimentado? Esta es la pregunta que plantea El Club de la Escalera, donde personas que vivieron una situación de bullying en la adolescencia se reencuentra...

The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting.Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpain...

This book summarizes the organized competitions held during the first NIPS competition track. It provides both theory and applications of hot topics in machine learning, such as adversarial learning, conversational intelligence, and deep reinforcement learning.Rigorous competition evaluation was based on the quality of data, problem interest and impact, promoting the design of new models, and a proper schedule and management procedure. This book contains the chapters from organizer...

This volume presents the results of the Neural Information Processing Systems Competition track at the 2018 NeurIPS conference. The competition follows the same format as the 2017 competition track for NIPS. Out of 21 submitted proposals, eight competition proposals were selected, spanning the area of Robotics, Health, Computer Vision, Natural Language Processing, Systems and Physics.Competitions have become an integral part of advancing state-of-the-art in artificial intelligence ...

This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognit...