Learn IT - Books tags estimation

Depth Map and 3D Imaging Applications: Algorithms and Technologies

IGI Global, 2011

This book has three editors, and all of us are involved in image processing and computer vision research. We have contributed to the 3D imaging research, especially in the field of passive optical 3D shape recovery methods. Over the last decade, significant progress had been made in 3D imaging research. As a result, 3D imaging...

Camera Networks: The Acquisition and Analysis of Videos over Wide Areas (Synthesis Lectures on Computer Vision)

Morgan and Claypool Publishers, 2012

Camera networks is a highly interdisciplinary area of research that has been very active over the last few years. In this book, we focus specifically on the topic of video understanding in camera networks and touch upon the other related areas (e.g., communication resources, machine learning, cooperative control of multi-agent...

Data Structures and Algorithm Analysis in C (2nd Edition)

Addison Wesley, 1996

This book describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms. As computers become faster and faster, the need for programs that can handle large amounts of input becomes more acute. Paradoxically, this requires more careful attention...

Data Structures and Algorithm Analysis in Java (3rd Edition)

Addison Wesley, 2011

This new Java edition describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms. As computers become faster and faster, the need for programs that can handle large amounts of input becomes more acute. Paradoxically, this requires more...

A Numerical Library in Java for Scientists and Engineers

CRC Press, 2003

At last researchers have an inexpensive library of Java-based numeric procedures for use in scientific computation. The first and only book of its kind, A Numeric Library in Java for Scientists and Engineers is a translation into Java of the library NUMAL (NUMerical procedures in ALgol 60).

This groundbreaking text presents...

Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)

CRC Press, 2004

Books on regression and the analysis of variance abound-many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many of these to choose from as well, all with...

Quantitative Remote Sensing of Land Surfaces

John Wiley & Sons, 2003

Remote sensing has entered a new era in the twenty-first century with a series of operating satellites from the NASA Earth Observing System (EOS) program, other international programs, and commercial programs. Since November 2000 the first civilian spaceborne hyperspectral sensor, Hyperion, has observed land surfaces on the...

Bayesian Brain: Probabilistic Approaches to Neural Coding (Computational Neuroscience)

MIT Press, 2006

A Bayesian approach can contribute to an understanding of the brain on multiple levels, by giving normative predictions about how an ideal sensory system should combine prior knowledge and observation, by providing mechanistic interpretation of the dynamic functioning of the brain circuit, and by suggesting optimal ways of deciphering...

Numerical Methods for Nonlinear Estimating Equations (Oxford Statistical Science, Vol. 29)

Oxford University Press, 2003

This book has grown from the authors' investigations into the problem of finding consistent and efficient solutions to estimating equations which admit multiple solutions. While there have been studies of multiple roots in likelihood estimation, most notably by Barnett (1966), we felt that there was a need to incorporate more...

Statistical Methods, Second Edition

Academic Press, 2003

This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection....

Bayesian Biostatistics and Diagnostic Medicine

CRC Press, 2007

Bayesian methods are being used more often than ever before in biology and medicine. For example, at the University of Texas MD Anderson Cancer Center, Bayesian sequential stopping rules routinely are used for the design of clinical trials. This book is based on the author’s experience working with a variety of...

An Invitation to 3-D Vision: From Images to Geometric Models (Interdisciplinary Applied Mathematics)

Springer, 2010

This book is intended to give students at the advanced undergraduate or introductory graduate level, and researchers in computer vision, robotics and computer graphics, a self-contained introduction to the geometry of three-dimensional (3- D) vision. This is the study of the reconstruction of 3-D models of objects from a...

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