Introduction to Pattern Recognition: A Matlab Approach
Product Description
Condition - Very Good
The item shows wear from consistent use but remains in good condition. It may arrive with damaged packaging or be repackaged.
Introduction to Pattern Recognition: A Matlab Approach
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&D engineers and university researchers in image and signal processing/analyisis, and computer vision.
- Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition, Fourth Edition
- Solved examples in Matlab, including real-life data sets in imaging and audio recognition
- Available separately or at a special package price with the main text (ISBN for package: 978-0-12-374491-3)
Technical Specifications
You might also like
Pattern Recognition, Fourth Edition
Pattern Recognition and Machine Learning (Information Science and Statistics)
Deep Learning (Adaptive Computation and Machine Learning series)
Python Machine Learning
MATLAB Machine Learning
Machine Learning: A Bayesian and Optimization Perspective (Net Developers)
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (MIT Press)
Pattern Classification (Pt.1)
Digital Signal Processing Using MATLAB: A Problem Solving Companion (Activate Learning with these NEW titles from Engineering!)