COI code: COMCONF04_081
Paper Language: English
How to Download This Paper
For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.
Authors Graph Based Classification Using kNN Averaging and Graph Embedding CriterionMohammad Amin Naeemi - Department of Computer, Shahid Bahonar University, Kerman, Iran
Hadis Mohseni - Young researchers group, Shahid Bahonar University, Kerman, Iran
Abstract:In the recent years, because technology has improved rapidly, the size of data such as digital photographs becomes very high. For time and computation efficiency, we need to extract some features from this high dimensional data. Hence, in this paper, a new dimensionality reduction algorithm is proposed to extract features for the classification purpose. The proposed method is based on graph embedding which is a general framework for describing many dimensional reduction methods. In this framework, similarity and penalty graphs are constructed based on data relations. These graphs characterize the statistical or geometric property of the data that should be kept or avoided during dimensionality reduction. Our proposed method constructs these two graphs on data and uses the averaging idea among neighbor vertices of the graphs to imply the compactness in each class of data while separating different classes. Obtained results show that the proposed method improves the accuracy of classification task on data such as face and digit images
Keywords:Dimensionality reduction, graph embedding, similarity graph, penalty graph, classification
COI code: COMCONF04_081
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Naeemi, Mohammad Amin & Hadis Mohseni, 2016, Graph Based Classification Using kNN Averaging and Graph Embedding Criterion, 4th International Conference on Electrical and Computer Engineering, تهران , موسسه آموزش عالي صالحان, دانشكده مديريت دانشگاه تهران, https://www.civilica.com/Paper-COMCONF04-COMCONF04_081.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Naeemi, Mohammad Amin & Hadis Mohseni, 2016)
Second and more: (Naeemi & Mohseni, 2016)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)
The University/Research Center Information:
Type: state university
Paper No.: 14001
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.
Research Info Management
Export Citation info of this paper to research management softwares
New Related Papers
- A Flexible Electronic Marketplace Based on a Weighted Personality Model
- A New Method for Sperm Detection in Infertility Cure: Hypothesis Testing Based on Fuzzy Entropy Decision
- Facial Expression Recognition Based on Anatomical Structure of Human Face
- Smart Communication through Wi-Fi
- Bluetooth Technology Evolutions
The Above articles are recently indexed in the related subjects
Iran Scientific Advertisment Netword
Share this paper
WHAT IS COI?
COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.