The purpose of this chapter is to introduce a few components that are common to most (if not all) pattern recognition or machine learning systems, including a few key concepts and building blocks. Some commonly encountered issues are also discussed. We will use face recognition as an example to introduce these components, and use the nearest neighbor classifier as a simple solution to the face ...

The success of the Internet has filled the net with lots of symbolic representations of music works. Two kinds of problems arise to the user: content-based search of music and the identification of similar works. Both belong to the pattern recognition domain. In contrast to most of the existing approaches, we pose a non-linear representation of a melody, based on trees that express the metric a...

let l := u3(11). in this article, we classify groups with the same order and degree pattern as an almost simple group related to l. in fact, we prove that l, l:2 and l:3 are od-characterizable, and l:s3 is 5-fold od-characterizable.

heretofore, a vast spectrum of pattern recognition methods has been considered by researchers to design credit scoring models. but what has not been considered enough in these studies is the lack of consideration of the needs of this subject which differentiate it from a simple classification. it is necessary to observe the costs of a wrong classification, because practically the cost of improp...

Pattern recognition have been a topic of active research during the 30 years, due to the high performance that these schemes presents, when they have been used in the solution of many practical problems in several fields of science, medicine and engineering. The efficiency of pattern recognition algorithms strongly depends in an accurate features extraction scheme that be able to represent the ...

Recently the facial expression recognition has gained broad concentration and fast progress. In this paper, we give a review for the latest advancement of the domestic and international facial gesture recognition technology. Facial Expression Recognition system includes three steps: face detection, expressional feature extraction and expression classification. We concentrate on the method featu...

Face recognition is an interesting issue in pattern recognition. In this paper, we propose a method for face recognition using 3D depth information. The goal is to get minimum features and produce a good recognition rates. We extract 3D clouds points from 3d vrml face Database, then the nose tip for each sample is detected and considered as new origin of the coordinate system, Gaussian Hermite ...