@inproceedings{b6ce30c7b12c459fa6fab57345f3985c,
title = "Classification techniques in pattern recognition",
abstract = "In this paper, we review some pattern recognition schemes published in recent years. After giving the general processing steps of pattern recognition, we discuss several methods used for steps of pattern recognition such as Principal Component Analysis (PCA) in feature extraction, Support Vector Machines (SVM) in classification, and so forth. Different kinds of merits are presented and their applications on pattern precognition are given. The objective of this paper is to summarize and compare some of the methods for pattern recognition, and future research issues which need to be resolved and investigated further are given along with the new trends and ideas. Copyright UNION Agency - Science Press.",
keywords = "Feature extraction, Feature selection, Kernels, Mapping, Pattern recognition, Support vector machines",
author = "Lihong Zheng and Xiangjian He",
year = "2005",
language = "English",
isbn = "8090310079",
series = "13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Full Papers",
pages = "77--78",
booktitle = "13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Full Papers",
note = "13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS ; Conference date: 31-01-2005 Through 04-02-2005",
}