Learn IT - Books tags variational

Computer Vision Analysis of Image Motion by Variational Methods (Springer Topics in Signal Processing)

Springer, 2013

This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective...

Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

Packt Publishing, 2018

A comprehensive guide to advanced deep learning techniques, including autoencoders, GANs, VAEs, and deep reinforcement learning that drive today's most impressive AI results

Key Features

Explore the most advanced deep learning techniques that drive modern AI results

An Analytical Mechanics Framework for Flow-Oscillator Modeling of Vortex-Induced Bluff-Body Oscillations (Solid Mechanics and Its Applications)

Springer, 2019

This self-contained book provides an introduction to the flow-oscillator modeling of vortex-induced bluff-body oscillations. One of the great challenges in engineering science also happens to be one of engineering design – the modeling, analysis and design of vibrating structures driven by fluid motion.

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Handbook of Mathematical Models in Computer Vision

Springer, 2005

David Marr's theory was a pioneering step towards understanding visual perception.
In his view human vision was based on a complete surface reconstruction
of the environment that was then used to address visual subtasks. This approach
was proven to be insufficient by neuro-biologists and complementary ideas from
statistical...

The Variational Bayes Method in Signal Processing

Springer, 2005

This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a self-contained, self-learning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It reviews the VB distributional approximation, showing...

Reliable Methods for Computer Simulation, Volume 33: Error Control and Posteriori Estimates (Studies in Mathematics and its Applications)

Elsevier Limited, 2004

Presentation of the main approaches developed for a posteriori error estimation in various problems.

Recent decades have seen a very rapid success in developing numerical methods based on explicit control over approximation errors. It may be said that nowadays a new direction is forming in numerical analysis, the main goal of...

Partial Differential Equations: Modelling and Numerical Simulation (Computational Methods in Applied Sciences)

Springer, 2008

This book is dedicated to Olivier Pironneau.

For more than 250 years partial differential equations have been clearly the most important tool available to mankind in order to understand a large variety of phenomena, natural at first and then those originating from human activity and technological development. Mechanics, physics and their...

Information Theory, Inference and Learning Algorithms

Cambridge University Press, 2003

"...a valuable reference...enjoyable and highly useful." American Scientist

"...an impressive book, intended as a class text on the subject of the title but having the character and robustness of a focused encyclopedia. The presentation is finely detailed, well documented, and stocked with artistic flourishes."...

Path Integrals in Physics Volume 2: Quantum Field Theory, Statistical Physics & Other Modern Applications

Taylor & Francis, 2001

This book covers the fundamentals of path integrals, both the Wiener and Feynman types, and their many applications in physics. It deals with systems that have an infinite number of degrees of freedom. The book discusses the general physical background and concepts of the path integral approach used, followed by the most typical and important...

The Theory of Composites

Cambridge University Press, 2001

"...there existed no book or review paper that would allow a newcomer to get a general knowledge of the state of the art. The book of Graeme Milton fills this gap, and it does the job in a splendid manner that will make it the reference book on composite materials for a long time." Mathematical Reviews

The theory...

Mathematical Principles of Optical Fiber Communication (CBMS-NSF Regional Conference Series in Applied Mathematics)

SIAM, 2004

With the maturing of mobile portable telephony and the emerging broadband access market, greater fiber transmission capacity will be essential in the early 21st century. Since the demand for more capacity drives the development of new optics-based technologies, fiber optics therefore remains a vibrant area for research. Mathematical Principles of...

An Introduction to Partial Differential Equations

Cambridge University Press, 2005

"This is an introductory book on the subject of partial differential equations which is suitable for a large variety of basic courses on this topic. In particular, it can be used as a textbook or self-study book for large classes of readers with interests in mathematics, engineering, and related fields. Its usefulness stems from its clarity,...

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