Robust Computer Vision Theory and Applications

Robust computer vision: theory and appli

📁 Robust computer vision: theory and applications

✍ Sebe N., Lew M.S. 📂 Library 📅 2003 🏛 Kluwer 🌐 English

From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov m

Robust Computer Vision: Theory and Appli

📁 Robust Computer Vision: Theory and Applications

✍ Nicu Sebe, Michael S. Lew (auth.) 📂 Library 📅 2003 🏛 Springer Netherlands 🌐 English

From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, a

Robust Computer Vision: Theory and Appli

📁 Robust Computer Vision: Theory and Applications (Computational Imaging and Vision)

✍ N. Sebe, M.S. Lew 📂 Library 📅 2003 🏛 Springer 🌐 English

From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Mark

Robust Computer Vision: Theory and Appli

📁 Robust Computer Vision: Theory and Applications (Computational Imaging and Vision Series, Volume 26)

✍ Nicu Sebe, Michael S. Lew 📂 Library 🌐 English

From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov

Computer Vision: Theory and Industrial A

📁 Computer Vision: Theory and Industrial Applications

✍ Josep Amat, Alícia Casals (auth.), Prof. Carme Torras (eds.) 📂 Library 📅 1992 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

This book is the fruit of a very long and elaborate process. It was conceived as a comprehensive solution to several deficiencies encountered while trying to teach the essentials of Computer Vision in different contexts: to technicians from industry looking for technological solutions to some of

Recent Advances in Computer Vision: Theo

📁 Recent Advances in Computer Vision: Theories and Applications

✍ Mahmoud Hassaballah, Khalid M. Hosny 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges

Robust Computer Vision Theory and Applications

✦ Synopsis