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C++: The Complete Reference, 4th Edition
C++: The Complete Reference, 4th Edition
If there is one language that defines modern programming, it is C++. Its syntax, style, and philosophy have set the standard by which all other languages are judged. Furthermore, C++ is the universal language of programming. When an algorithm or technique is described, it is usually done so using the C++ syntax. The long-term success of C++ has...
Machine Learning and Statistical Modeling Approaches to Image Retrieval (The Information Retrieval Series)
Machine Learning and Statistical Modeling Approaches to Image Retrieval (The Information Retrieval Series)

In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World-Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas...

Algorithm Collections for Digital Signal Processing Applications using Matlab
Algorithm Collections for Digital Signal Processing Applications using Matlab
The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are scattered in different fields. There is the need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in application point of view. Algorithm Collections for Digital Signal Processing Applications using MATLAB...
Learning Apache Mahout
Learning Apache Mahout

If you are a Java developer and want to use Mahout and Machine Learning to solve Big Data analytics use-cases then this book is for you. Familiarity with shell-scripts is assumed but no prior experience is required.

Learning Apache Mahout is aimed at providing a strong foundation in machine learning using Mahout. This book is ideal...

Information Processing and Living Systems (Advances in Bioinformatics and Computational Biology)
Information Processing and Living Systems (Advances in Bioinformatics and Computational Biology)
Information processing and information flow occur in the course of an organism's development and throughout its lifespan. Organisms do not exist in isolation, but interact with each other constantly within a complex ecosystem. The relationships between organisms, such as those between prey or predator, host and parasite, and between mating...
Graphical Models for Machine Learning and Digital Communication (Adaptive Computation and Machine Learning)
Graphical Models for Machine Learning and Digital Communication (Adaptive Computation and Machine Learning)

A variety of problems m machine learning and digital communication deal with complex but structured natural or artificial systems. Natural patterns mat we wish to automatically classify' are a consequence of a hierarchical causal physical process. Learning about the world m which we live requires mat we extract useful sensor)'...

OpenCL Programming by Example
OpenCL Programming by Example

For a comprehensive, easy-to-swallow guide to OpenCL Programming, this book is out on its own. That's because it teaches through examples and covers everything from parallel sorting to optimization in simple stages.

Overview

  • Learn about all of the OpenCL Architecture and major APIs.
  • ...
Applied Numerical Methods Using MATLAB
Applied Numerical Methods Using MATLAB
This book introduces applied numerical methods for engineering and science students in sophomore to senior levels; it targets the students of today who do not like or do not have time to derive and prove mathematical results. It can also serve as a reference to MATLAB applications for professional engineers and scientists, since many of the MATLAB...
Mastering Probabilistic Graphical Models using Python
Mastering Probabilistic Graphical Models using Python

Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python

About This Book

  • Gain in-depth knowledge of Probabilistic Graphical Models
  • Model time-series problems using Dynamic Bayesian Networks
  • A practical guide to...
Essential C++ for Engineers and Scientists (2nd Edition)
Essential C++ for Engineers and Scientists (2nd Edition)

Essential C++ for Engineers and Scientists zeros in on the key elements of good programming and C++, using a multitude of interesting and appropriate engineering and scientific examples. This book covers the features of C++ needed for writing engineering programs, including many features of object-oriented programming. Early on, the book...

Human - Computer Systems Interaction: Backgrounds and Applications 2: Part 2 (Advances in Intelligent and Soft Computing)
Human - Computer Systems Interaction: Backgrounds and Applications 2: Part 2 (Advances in Intelligent and Soft Computing)
It is demonstrated that spectral characteristics of steady-state visual evoked potentials (SSVEPs) in a brain-computer interface (SSVEP-based BCI) depend significantly on the stimulus parameters, such as color and frequency of its flashing light. We postulate these dependencies can be used to improve the BCI performance –...
Evolutionary Algorithms (The IMA Volumes in Mathematics and its Applications)
Evolutionary Algorithms (The IMA Volumes in Mathematics and its Applications)

The IMA Workshop on Evolutionary Algorithms brought together many of the top researchers in the area of Evolutionary Computation for a week of intensive interaction. The field of Evolutionary Computation has developed significantly over the past 30 years and today consists of a variety of subfields such as genetic algorithms, evolution...

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