Machine Learning for Audio, Image and Video Analysis - Theory and Applications

Machine Learning for Audio, Image and Vi

📁 Machine Learning for Audio, Image and Video Analysis: Theory and Applications

✍ Francesco Camastra PhD, Alessandro Vinciarelli PhD (auth.) 📂 Library 📅 2008 🏛 Springer-Verlag London 🌐 English

Machine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. Focusing on complex media and how to convert raw data into useful information, this book offers both

Machine Learning for Audio, Image and Vi

📁 Machine Learning for Audio, Image and Video Analysis: Theory and Applications

✍ Francesco Camastra PhD, Alessandro Vinciarelli PhD (auth.) 📂 Library 📅 2008 🏛 Springer-Verlag London 🌐 English

Machine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. Focusing on complex media and how to convert raw data into useful information, this book offers both

Machine Learning for Audio, Image and Vi

📁 Machine Learning for Audio, Image and Video Analysis: Theory and Applications

✍ Francesco Camastra, Alessandro Vinciarelli (auth.) 📂 Library 📅 2015 🏛 Springer-Verlag London 🌐 English

This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divide

Machine learning for audio, image and vi

📁 Machine learning for audio, image and video analysis : theory and applications

✍ Camastra, Francesco; Vinciarelli, Alessandro 📂 Library 📅 2015 🏛 Springer 🌐 English

This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided i

Machine learning for audio, image and vi

📁 Machine learning for audio, image and video analysis

✍ Camastra F., Vinciarelli A. 📂 Library 📅 2008 🏛 Springer 🌐 English

Focusing on complex media and how to convert raw data into useful information, this book offers both introductory and advanced material in the combined fields of machine learning and image/video processing. It is organized into three parts. The first focuses on technical aspects, basic mathematical

Machine Learning for Audio, Image and Vi

📁 Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing)

✍ Francesco Camastra, Alessandro Vinciarelli 📂 Library 📅 2007 🏛 Springer 🌐 English

This book is divided into three parts: From Perception to Computation - Shows how the physical supports our auditory and visual perceptions. In other words, it shows how acoustic waves and electromagnetic radiation are converted into objects that can be manipulated by a computer. Machine Learning