Learn IT - Books tags recognition

Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab

John Wiley & Sons, 2011

This is an introductory to intermediate level text on the scienceof image processing, which employs the Matlab programming languageto illustrate some of the elementary, key concepts in modern imageprocessing and pattern recognition. The approach taken isessentially practical and the book offers a framework within whichthe concepts can be...

Fast Fourier Transform - Algorithms and Applications (Signals and Communication Technology)

Springer, 2010

This book presents an introduction to the principles of the fast Fourier transform (FFT). It covers FFTs, frequency domain filtering, and applications to video and audio signal processing.

As fields like communications, speech and image processing, and related areas are rapidly developing, the FFT as one of the essential...

Python Social Media Analytics: Analyze and visualize data from Twitter, YouTube, GitHub, and more

Packt Publishing, 2017

Leverage the power of Python to collect, process, and mine deep insights from social media data

About This Book

Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more

Analyze and extract actionable insights from your social data using various...

Neural Networks and Pattern Recognition

Academic Press, 1998

This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks. Neural Networks and Pattern Recognition focuses on the use of neural networksin pattern recognition, a very important application area for neural networks technology. The contributors are widely known...

Machine Learning in Computer Vision (Computational Imaging and Vision)

Springer, 2005

The goal of computer vision research is to provide computers with humanlike
perception capabilities so that they can sense the environment, understand
the sensed data, take appropriate actions, and learn from this experience in
order to enhance future performance. The field has evolved from the application
of classical pattern...

Practical OpenCV

Apress, 2013

Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library.

Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you...

Building Machine Learning Systems with Python

Packt Publishing, 2013

As the Big Data explosion continues at an almost incomprehensible rate, being able to understand and process it becomes even more challenging. With Building Machine Learning Systems with Python, you'll learn everything you need to tackle the modern data deluge - by harnessing the unique capabilities of Python and its extensive range of...

Computational Intelligence in Biomedical Engineering

CRC Press, 2007

As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive...

Visual Perception and Robotic Manipulation: 3D Object Recognition, Tracking and Hand-Eye Coordination

Springer, 2006

As autonomous robots expand into the service domain, new solutions to the challenge of operating in domestic environments must be developed. Widespread adoption of service robots demands high robustness to environmental change and operational wear, and minimal reliance on application specific knowledge. As such, rich sensing modalities such as...

Anatomy of a Robot (TAB Robotics)

McGraw-Hill, 2003

This work looks under the hood of all robotic projects, stimulating teachers, students, and hobbyists to learn more about the gamut of areas associated with control systems and robotics. It offers a unique presentation in providing both theory and philosophy in a technical yet entertaining way.

UNDER THE HOOD OF A...

R Deep Learning Essentials

Packt Publishing, 2016

Key Features

Harness the ability to build algorithms for unsupervised data using deep learning concepts with R

Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models

Build models relating to neural...

Mathematics of Digital Images: Creation, Compression, Restoration, Recognition

Cambridge University Press, 2006

"Recognition explains the mathematics needed to carry out various aspects of digital imaging through examples, exercises with solutions, pseudocode and sample calculations on images. Suitable for a course or tutorial."
Spectra

"This book explains the mathematics needed to understand and carry out these components in...

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