Classification Techniques in Pattern Recognition

Lihong Zheng; Xiangjian He

Classification Techniques in Pattern Recognition

Research output: Book chapter/Published conference paper › Conference paper › peer-review

Abstract

In this paper, we review some pattern recognition schemes published in recent years. After giving the generalprocessing steps of pattern recognition, we discuss several methods used for steps of pattern recognition such asPrincipal 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 futureresearch issues which need to be resolved and investigated further are given along with the new trends and ideas.

Original language	English
Title of host publication	The 13th International Conference in Central Europe on Computer Graphics, Visualization and computer vision WSCG2005
Editors	Vaclav Skala
Place of Publication	Australia
Publisher	Science Press
Pages	77-78
Number of pages	2
Publication status	Published - 2005
Event	International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision - Plzen - Bory, Czech Republic, Czech Republic Duration: 31 Jan 2005 → 04 Feb 2005

Conference

Conference	International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision
Country/Territory	Czech Republic
Period	31/01/05 → 04/02/05

Cite this

@inproceedings{14215f5c4cdd424ca7f5c90645ad6dff,

title = "Classification Techniques in Pattern Recognition",

abstract = "In this paper, we review some pattern recognition schemes published in recent years. After giving the generalprocessing steps of pattern recognition, we discuss several methods used for steps of pattern recognition such asPrincipal 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 futureresearch issues which need to be resolved and investigated further are given along with the new trends and ideas.",

author = "Lihong Zheng and Xiangjian He",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = Australia: Science Press, 2005. editor/s (773b) = Vaclav Skala; Event dates (773o) = 31-01-2005-04-02-2005; Parent title (773t) = International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision. ISSNs: 1213-6972; ; International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision ; Conference date: 31-01-2005 Through 04-02-2005",

year = "2005",

language = "English",

pages = "77--78",

editor = "Vaclav Skala",

booktitle = "The 13th International Conference in Central Europe on Computer Graphics, Visualization and computer vision WSCG2005",

publisher = "Science Press",

address = "China",

}

Zheng, L & He, X 2005, Classification Techniques in Pattern Recognition. in V Skala (ed.), The 13th International Conference in Central Europe on Computer Graphics, Visualization and computer vision WSCG2005. Science Press, Australia, pp. 77-78, International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision, Czech Republic, 31/01/05.

TY - GEN

T1 - Classification Techniques in Pattern Recognition

AU - Zheng, Lihong

AU - He, Xiangjian

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = Australia: Science Press, 2005. editor/s (773b) = Vaclav Skala; Event dates (773o) = 31-01-2005-04-02-2005; Parent title (773t) = International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision. ISSNs: 1213-6972;

PY - 2005

Y1 - 2005

N2 - In this paper, we review some pattern recognition schemes published in recent years. After giving the generalprocessing steps of pattern recognition, we discuss several methods used for steps of pattern recognition such asPrincipal 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 futureresearch issues which need to be resolved and investigated further are given along with the new trends and ideas.

AB - In this paper, we review some pattern recognition schemes published in recent years. After giving the generalprocessing steps of pattern recognition, we discuss several methods used for steps of pattern recognition such asPrincipal 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 futureresearch issues which need to be resolved and investigated further are given along with the new trends and ideas.

M3 - Conference paper

SP - 77

EP - 78

BT - The 13th International Conference in Central Europe on Computer Graphics, Visualization and computer vision WSCG2005

A2 - Skala, Vaclav

PB - Science Press

CY - Australia

T2 - International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision

Y2 - 31 January 2005 through 4 February 2005

ER -

Classification Techniques in Pattern Recognition

Abstract

Conference

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