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Image Processing Using CUDA

. Initially shader based frameworks like GLSL, Cg etc have been used for GP-GPU. NVIDIA has developed CUDA to write scalable parallel programs in C;

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Deep Belief Nets in C++ and Cuda C: Volume 2: Autoencoding in the Complex Domain

for deep learning, neural networks, and AI using C++ and CUDA C Carry out signal preprocessing using simple transformations, Fourier;

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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the;

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CUDA for Engineers

with 3D data: slicing, volume rendering, and ray casting Using CUDA libraries Finding more CUDA resources and code Realistic;

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Deep Belief Nets in C++ and CUDA C: Volume 3

applications. At each step Deep Belief Nets in C++ and CUDA C: Volume 3 presents intuitive motivation, a summary of the most important equations;

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Practical Machine Learning and Image Processing

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;

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Practical Machine Learning and Image Processing

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;

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CUDA Application Design and Development

needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA;

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Image Processing and Acquisition Using Python

Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing-one;

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Raspberry Pi Image Processing Programming

Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4. This book covers image processing;

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Colorectal Cancer MRI Image Segmentation Using Image Processing Techniques

algorithms for preprocessing, clustering and post processing of MRI images. Implemented algorithm for preprocessing using image enhancement;

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Python Image Processing Cookbook

solve real-world image processing problems Key Features Discover solutions to complex image processing tasks using Python tools such as scikit;

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Deep Belief Nets in C++ and CUDA C: Volume 1

download, which also contains some libraries of related routines. What You Will Learn Employ deep learning using C++ and CUDA C Work with;

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Image Processing and Acquisition Using Python

Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing-one;

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Image Processing with ImageJ -

. No prior knowledge of ImageJ is needed. Familiarity with Java programming will be required for readers to code their own routines using;

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Accelerating MATLAB with GPU Computing

such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB;

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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)

Fundamentals of Image, Audio, and Video Processing Using MATLAB (R) introduces the concepts and principles of media processing and its;

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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)

Fundamentals of Image, Audio, and Video Processing Using MATLAB (R) introduces the concepts and principles of media processing and its;

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Efficient trademark retrieval using weighted image features

required information from these databases. Fast retrieval and robustness are two main criteria for efficient recognition of an object using image;

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Image Processing Using FPGAs

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Hands-On Image Processing with Python

Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. Key Features Practical;

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Digital Image Processing Using Matlab

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CUDA Fortran for Scientists and Engineers

CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using;

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Medical Image Processing Using IDL

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Applications of Hybrid Metaheuristic Algorithms for Image Processing

recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an;

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One- and Multidimensional Signal Processing

of image and TV communication systems as well as for systems in automation and robotic applications using sensor based imaging techniques. This;

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Remote Sensing Image Classification in R

This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also;

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