When I began writing this book, I spent quite a bit of time searching for a good quote to start things off. I ended up with two. R is a wonderfully flexible platform and language for exploring, visualizing, and understanding data. I chose the quote from Alice in Wonderland to capture the flavor of statistical analysis today—an...

This book suits both graduate students and researchers with a focus on discovering knowledge from scientific data. The use of computational power for data analysis and knowledge discovery in scientific disciplines has found its roots with the revolution of high-performance computing systems. Computational science in physics,...

Recognizing patterns is at the core of man's attempts to understand the universe that we inhabit. Through the development of sensors and instruments, we have extended our ability to gather data far beyond the range and scale of man's natural senses. As a result we are now able to gather data on phenomena occurring in the far reaches...

This book is about the use of techniques and tools for the design and implementation of computer systems and software that are free from logical or functional flaws (in the sense of functional requirements). The word rigorous in the title of this book is justified by the fact that the arguments for such fault freeness have their roots...

This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences...

One of the consequences of the information revolution is the ever-growing amount of
information we are surrounded with and the need to process this information
efficiently and extract meaningful knowledge. This phenomenon was termed “digital
obesity” or “information obesity” by Toshiba Ltd. One...

I have worked in systems engineering, software development, software configuration management, software testing, and software quality assurance organizations for more than 30 years. My experience in these selected fields has been somewhat different from that of most people. I always wanted to experience the software disciplines required in...

That statement encapsulates the view of The MathWorks, Inc., the developer of MATLAB®. MATLAB 6 is an ambitious program. It contains hundreds of com- mands to do mathematics. You can use it to graph functions, solve equations, perform statistical tests, and do much more. It is a high-level programming language that can communicate...

In this textbook, I take an unconventional approach to data analysis. Its contents are heavily influenced by the idea that data analysis should help in enhancing and augmenting knowledge of the domain as represented by the concepts and statements of relation between them. According to this view, two main pathways for data analysis are...

3D scene understanding and object recognition are among the grandest challenges in computer vision. A wide variety of techniques and goals, such as structure from motion, optical flow, stereo, edge detection, and segmentation, could be viewed as subtasks within scene understanding and recognition. Many of these applicable methods are...

We have been very pleased, beyond our expectations, with the reception of the first edition of this book. Bioinformatics, however, continues to evolve very rapidly, hence the need for a new edition. In the past three years, fullgenome sequencing has blossomed with the completion of the sequence of the fly and the first draft of the...

We are entering the golden age of GPU computing. Since the introduction of CUDA in 2007, more than 100 million computers with CUDA-capable GPUs have been shipped to end users. Unlike the previous GPGPU shader programming models, CUDA supports parallel programming in C. From my own experience in teaching CUDA programming, C programmers...