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DATA MINING AND PATTERN RECOGNITION. EXAMPLES WITH MATLAB (Monografías jurídico-fiscales)
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UNSUPERVISED LEARNING TECHNIQUES: PATTERN RECOGNITION. EXAMPLES WITH MATLAB
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BIG DATA ANALYTICS: CLUSTER ANALYSIS AND PATTERN RECOGNITION. EXAMPLES WITH MATLAB
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OpenCV 3.x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and aug…
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DEEP LEARNING TECHNIQUES: CLUSTER ANALYSIS and PATTERN RECOGNITION with NEURAL NETWORKS. Examples with MATLAB
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Ensemble Methods: Foundations and Algorithms (Chapman & Hall/CRC Data Mining and Knowledge Discovery Serie)
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Cyber Security Meets Machine Learning
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MACHINE LEARNING. UNSUPERVISED LEARNING TECHNIQES: PATTERN RECOGNITION.EXAMPLES WITH MATLAB
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Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery
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OpenCV with Python By Example: Build real-world computer vision applications and develop cool demos using OpenCV for Python
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Example-Based Super Resolution
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Cost-Sensitive Machine Learning (Machine Learning & Pattern Recongnition)
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Kindergarten 2018
Patterns of love and affection are all around us, especially around Valentine’s Day when we like to show these emotions to our close ones. This free printable Valentine’s Day Pattern Recognition Worksheets will come in handy for keeping
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Big Data Analytics : Cluster Analysis and Pattern Recognition. Examples with MATLAB
| Author: C Perez | Publisher: Lulu.com | Publication Date: May 31, 2020 | Number of Pages: 389 pages | Language: English | Binding: Paperback | ISBN-10: 1716876869 | ISBN-13: 9781716876868
Stroke Analysis on CT Images : A Pattern Recognition Approach (Paperback)
Stroke Analysis on CT Images: A Pattern Recognition Approach discusses briefly everything from stroke, it’s causes, conventional methods of stroke analysis on CT images to analysis using texture properties and classification of CT images. Texture analysis and other pattern recognition approaches, for stroke analysis, are largely discussed in this book with examples and great number of formulas, and real results. A great reference for beginners Stroke Analysis on CT Images: A Pattern Recognition Approach (Paperback)
Pattern Recognition and Neural Networks (Paperback)
This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback. Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. He brings unifying principles to the fore, and reviews the state of the subject. Ripley also includes many examples to illustrate real problems in pattern recognition and how to overcome them. Pattern Recognition and Neural Networks (Paperback)
Introduction to Pattern Recognition : A Matlab Approach (Paperback)
Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas’ Pattern Recognition. It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R\u0026D engineers and university researchers in image and signal processing/analyisis, and computer vision. • Author: Sergios Theodoridis,Aggelos Pikrakis,Konstantinos Koutroumbas,Dionisis Cavouras • ISBN:9780123744869 • Format:Paperback • Publication Date:2010-03-15
Hands on math
