Frequent Pattern Clustering for ADLs Recognition in Smart Environments

Subspace Methods for Pattern Recognition

📁 Subspace Methods for Pattern Recognition in Intelligent Environment

✍ Yen-Wei Chen, Lakhmi C. Jain (eds.) 📂 Library 📅 2014 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How

Human Recognition in Unconstrained Envir

📁 Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics

✍ Maria De Marsico, Michele Nappi, Hugo Pedro Proença 📂 Library 📅 2017 🏛 Academic Press 🌐 English

Human Recognition in Unconstrained Environments provides a unique picture of the complete ‘in-the-wild’ biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents.<s

Human Activity Recognition and Behaviour

📁 Human Activity Recognition and Behaviour Analysis: For Cyber-Physical Systems in Smart Environments

✍ Liming Chen, Chris D. Nugent 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

The book first defines the problems, various concepts and notions related to activity recognition, and introduces the fundamental rationale and state-of-the-art methodologies and approaches. It then describes the use of artificial intelligence techniques and advanced knowledge technologies for

Activity Recognition and Prediction for

📁 Activity Recognition and Prediction for Smart IoT Environments (Internet of Things)

✍ Michele Ianni (editor), Antonella Guzzo (editor), Raffaele Gravina (editor), Has 📂 Library 📅 2024 🏛 Springer 🌐 English

This book provides the latest developments in activity recognition and prediction, with particular focus on the Internet of Things. The book covers advanced research and state of the art of activity prediction and its practical application in different IoT related contexts, ranging from ind

Activity Recognition and Prediction for

📁 Activity Recognition and Prediction for Smart IoT Environments (Internet of Things)

✍ Michele Ianni (editor), Antonella Guzzo (editor), Raffaele Gravina (editor), Has 📂 Library 📅 2024 🏛 Springer 🌐 English

This book provides the latest developments in activity recognition and prediction, with particular focus on the Internet of Things. The book covers advanced research and state of the art of activity prediction and its practical application in different IoT related contexts, ranging from ind

Activity Recognition and Prediction for

📁 Activity Recognition and Prediction for Smart IoT Environments (Internet of Things)

✍ Michele Ianni (editor), Antonella Guzzo (editor), Raffaele Gravina (editor), Has 📂 Library 📅 2024 🏛 Springer 🌐 English

This book provides the latest developments in activity recognition and prediction, with particular focus on the Internet of Things. The book covers advanced research and state of the art of activity prediction and its practical application in different IoT related contexts, ranging from ind