Learn IT - Books tags vector

Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning

Apress, 2021

Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security.

You’ll learn the differences between...

Microsoft Expression Blend Bible

John Wiley & Sons, 2007

Create amazing interfaces that encourage visitors

The impact of an aesthetically pleasing user interface is remarkable. Web site visitors respond eagerly to attractive, easy-to-use designs, and Blend allows you to create these with much less effort. This A-to-Z guide shows you how to design a new generation of applications...

High Performance Computing on Vector Systems 2006: Proceedings of the High Performance Computing Center Stuttgart, March 2006

Springer, 2007

The book presents the state of the art in high performance computing and simulation on modern supercomputer architectures. It covers trends in high performance application software development in general and specifically for parallel vector architectures. The contributions cover among others the field of computational fluid dynamics, physics,...

Sas 9.2 Output Delivery System User's Guide

SAS Institute, 2009

New and enhanced features in the Output Delivery System (ODS) provide an almost limitless number of choices for reporting and displaying analytical results with a greater variety of formatting selections and output destinations.

With ODS statements, you can use new ODS packages, measured RTF output, and enhanced inline formatting,...

Machine Learning: Discriminative and Generative (The Springer International Series in Engineering and Computer Science)

Springer, 2003

Machine Learning: Discriminative and Generative covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative support-vector machines. However, unlike previous books that only discuss these rather different approaches in isolation, it bridges the two...

C++ Primer

Addison Wesley, 1998

Quite a few changes have occurred between the second and third editions of C++ Primer. Most notably, C++ has undergone international standardization, which has not only added new features to the language, such as exception handling, run-time type identification, namespaces, a built-in Boolean data type, and a new cast notation, but has...

Nonviral Vectors for Gene Therapy, Part 2, Volume 54, Second Edition (Advances in Genetics)

Academic Press, 2005

Since the pioneering discovery by Felgner et al. (1987) that cationic lipid can efficiently transfect cells, there was a surge of research activity in this area. The field received another boost when Nabel et al. (1993) successfully completed a small phase I clinical trial in gene therapy of melanoma using cationic liposome as a...

Deep Learning for Natural Language Processing: Creating Neural Networks with Python

Apress, 2018

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.

You’ll start by covering the mathematical prerequisites...

Semi-Supervised Learning (Adaptive Computation and Machine Learning)

MIT Press, 2006

In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are...

The Structure and Properties of Color Spaces and the Representation of Color Images

Morgan and Claypool Publishers, 2009

This lecture describes the author's approach to the representation of color spaces and their use for color image processing. The lecture starts with a precise formulation of the space of physical stimuli (light). The model includes both continuous spectra and monochromatic spectra in the form of Dirac deltas. The spectral densities are considered...

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

CRC Press, 2012

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)âclassification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is...

Learn Vertex & Pixel Shader Programming with DirectX 9

Wordware Publishing, 2004

This book covers all the fundamentals of programming vectors using SIMD methodology in conjunction with the Direct3D 9 application interfaces.

Text shows how to write assembly language for programming the vertex shader and pixel shader hardware using DirectX 9. Covers the fundamentals of programming vectors using SIMD methodology in...

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