Pattern recognition: an algorithmic approach
โ Scribed by Murty, M. Narasimha;Devi, V. Susheela
- Publisher
- Springer
- Year
- 2012
- Tongue
- English
- Leaves
- 274
- Series
- Undergraduate topics in computer science
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
IntroductionRepresentationNearest Neighbour Based ClassifiersBayes ClassifierHidden Markov ModelsDecision TreesSupport Vector MachinesCombination of ClassifiersClusteringSummaryAn Application: Handwritten Digit Recognition
โฆ Subjects
Pattern perception--Mathematics;Pattern recognition systems;Algorithms;Pattern perception -- Mathematics
๐ SIMILAR VOLUMES
<p><p>Observing the environment, and recognising patterns for the purpose of decision-making, is fundamental to human nature. The scientific discipline of pattern recognition (PR) is devoted to how machines use computing to discern patterns in the real world.</p><p>This must-read textbook provides a
<span>This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples.
<span>This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples.
An accompanying manual to Theodoridis/Koutroumbas, Pattern Recognition, that 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.