Application of pattern recognition methods in classification of different types of rocks
Fit for purpose? Pattern cutting and seams in wearables development
Performance Evaluation of Classifiers used for Identification of Encryption Algorithms
Analysis of Neocognitron of Neural Network Method in the String Recognition
A Novel Method for Speaker Independent Recognition Based on Hidden Markov Model
Pattern Recognition and Machine Learning
Random Fiction for King
Data Mining and Statistics: What's the Connection?
Fibbonacci patterns with Pattern Recognition
Use coupon below to get discount at eCampus.com!
$3 off textbook orders over $75
$4 off textbook orders over $90
$5 off textbook orders over $100
Copy the coupon code before clicking the button!
This volume constitutes the refereed proceedings of the Joint IAPR International Workshop, SSPR & SPR 2010, held in Cesme, Izmir, Turkey, in August 2010.
Structural, Syntactic, And Statistical Pattern Recognition: Joint Iapr International Workshops, Sspr 2006 And Spr 2006, Hong Kong, China, August 17-19, 2006, Pr
This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity ...
Pattern Recognition Algorithms for Data Mining covers the topic of data mining from a pattern recognition perspective. This unique book presents real life data sets from various domains, such as ...
This book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern recognition metrics, and the ...
This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied ...
Markov models are used to solve challenging pattern recognition problems on the basis of sequential data as, e.g., automatic speech or handwriting recognition. This comprehensive introduction to the ...
This comprehensive introduction to the Markov modeling framework describes the underlying theoretical concepts of Markov models as used for sequential data, covering Hidden Markov models and Markov ...