Product Details
DATA MINING AND PATTERN RECOGNITION. EXAMPLES WITH MATLAB (Monografías jurídico-fiscales)
Free Shipping+Easy returns
Product Details
UNSUPERVISED LEARNING TECHNIQUES: PATTERN RECOGNITION. EXAMPLES WITH MATLAB
Free Shipping+Easy returns
Product Details
BIG DATA ANALYTICS: CLUSTER ANALYSIS AND PATTERN RECOGNITION. EXAMPLES WITH MATLAB
Free Shipping+Easy returns
Product Details
OpenCV 3.x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and aug…
Free Shipping+Easy returns
Product Details
DEEP LEARNING TECHNIQUES: CLUSTER ANALYSIS and PATTERN RECOGNITION with NEURAL NETWORKS. Examples with MATLAB
Free Shipping+Easy returns
Product Details
MACHINE LEARNING. UNSUPERVISED LEARNING TECHNIQES: PATTERN RECOGNITION.EXAMPLES WITH MATLAB
Free Shipping+Easy returns
Product Details
Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery
Free Shipping+Easy returns
Product Details
OpenCV with Python By Example: Build real-world computer vision applications and develop cool demos using OpenCV for Python
Free Shipping+Easy returns
Product Details
Ensemble Methods: Foundations and Algorithms (Chapman & Hall/CRC Data Mining and Knowledge Discovery Serie)
Free Shipping+Easy returns
Product Details
Mastering Kafka Streams and ksqlDB: Building Real-Time Data Systems by Example
Free Shipping+Easy returns
Product Details
Cyber Security Meets Machine Learning
Free Shipping+Easy returns
Product Details
Linear Algebra and Learning from Data
Free Shipping+Easy returns
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
Treasury of Chess
Grandmaster Preparation: Strategic Play (Jacob Aagaard): Jacob Aagaard digs deep into the most complex area of chess thinking. The games and exercises in this book transcend regular chess skills, such as pattern recognition, calculation and positional analysis. Grandmaster Preparation: Endgame Play (Jacob Aagaard): Jacob Aagaard presents the reader with a few key concepts in the endgame and invites him to test his skills with a lot of examples from recent tournament practice. Grandmaster Preparation: Calculation (Jacob Aagaard): In Calculation thinking methods such as Candidates, Combinations, Prophylaxis, Comparison, Elimination, Intermediate Moves, Imagination and Traps are explained to the reader, and ownership of them is offered through a carefully selected series of exercises. Grandmaster Preparation: Attack \u0026 Defence (Jacob Aagaard): Jacob Aagaard presents the main principles of how to attack and defend in chess. By carving dynamic chess into separate areas of ability, he gives the reader a clear way to expand his understanding of this vital part of the game. Grandmaster Preparation: Thinking Inside the Box (Jacob Aagaard): Jacob Aagaard describes his chess improvement philosophy, developed over more than twenty years of thinking about one question: How do we make better decisions at the chess board Grandmaster Preparation: Positional Play (Jacob Aagaard): Jacob Aagaard shares his simple three-step tool of positional analysis that he has used with club players and famous grandmasters to improve their positional decision-making. Working from the starting point that all players who aspire to play at international level have a certain amount of positional understanding, Aagaard lays out an easy-to-follow training plan that will improve everyone’s intuition and positional decision-making.
Pattern Classification : A Unified View of Statistical and Neural Approaches (Hardcover)
Based on Schurmann’s years of practical experience in the area of character recognition and document analysis, this book offers a unifying perspective of neural networks and statistical pattern classification from a theoretically-based engineering point of view. Using graphs and examples, it sheds light on the relation between seemingly different approaches to pattern recognition. Based on many years of practical experience predominately in the area of character recognition and document analysis, the author details a number of competing approaches to building up essential estimating functions–statistical modeling, least mean squares techniques and radial basis functions. Traditional statistics-based pattern classification techniques as well as connectionist and neural methods are coherently treated and shown to be inextricably interfused. Uses an extremely simplified two-dimensional example task throughout the text to illustrate diverse approaches in a unified manner. • Author: J\\u0026uuml;rgen Sch\\u0026uuml;rmann • ISBN:9780471135340 • Format:Hardcover • Publication Date:1996-03-15
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
Products
Read \
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)
