... percent accuracy and 95 percent κ coefficient, thus exhibiting promising potentials for real-world applications. © Emerald Group Publishing Limited 2014 Intelligent transportation Learning Pattern recognition Automatic vehicle classification (AVC) is an important issue...

... classifier Multidimensional fuzzy implication Fuzzy information granule Fuzzy patter vector Fuzzy relational calculus Genetic algorithms Fuzzy logic Pattern recognition Although a lot of scientific developments have already been made in the area of pattern classifications, existing techniques...

... Publishing Limited 2011 Neural nets Pattern recognition Neural networks A cellular neural network (CNN) is a system of locally interconnected non‐linear processing units, implementing an associative memory (Chua and Yang, 1988). Research on the design and synthesis of CNNs generated...

... for many applications, particularly in forensics and biometrics. © Emerald Group Publishing Limited 2010 The problem of signature verification is in theory a pattern recognition task used to discriminate two classes, original and forgery signatures. On the other hand, signature identification...

... relevant of these are referenced here. The problem of establishing patterns can be separated into two sub problems: © Emerald Group Publishing Limited 2009 Robotics Pattern recognition Mathematical modelling Pattern formation is a challenging area of research in swarm robotics...

... steganalysis is a classical pattern recognition problem in that, given a digital image, the steganalytic system must decide whether an image has part of its content modified without access to the original image. A general solution is through the model‐based approach, in which a classifier is designed...