Earticle

초록

영어

Under today’s big data environment, with the rapid development of computer network technology and information technology, data mining is becoming more and more important in computer science. Classification is one of the most important aspects in data mining research Field. Recently, representation methods, such as sparse representation and low rank representation, have been much concerned. They both have wide applications in scientific and engineering fields. However, sparse representation and low rank representation include many methods, although these methods have their own characteristics, they are all effective for handling classification problems. This paper focuses on the performance comparison of different representation methods currently used in handling classification problems and views other conventional methods that can be applied in this field.

목차

Abstract
 1. Introduction
 2. Sparse Representation Methods for Classification
  2.1. Multi-class Classification
  2.2. Orthogonal Matching Pursuit
  2.3. Sparse Representation-based Classification
  2.4. Structured Sparse Representation
 3. Collaborative Representation Methods for Classification
  3.1. Collaborative Representation based on Methods for Classification
  3.2. Collaborative Representation Optimized Classifier
 4. Conventional Methods used for Classification
  4.1. Nearest Neighbors
  4.2. Nearest Subspace Classifier
 5. Low Rank Representation Methods
 6. Experiments
  6.1. Face Recognition
  6.2. Digit Recognition
 7. The Comparison of Different Methods
 8. Conclusions
 Acknowledgements
 References

키워드

저자

• Jiangshu Wei [ College of Information and Engineering Technology, Sichuan Agricultural University, Ya’an, 625014, China ]
• Xiangjun Qi [ College of Information and Engineering Technology, Sichuan Agricultural University, Ya’an, 625014, China ]
• Mantao Wang [ College of Information and Engineering Technology, Sichuan Agricultural University, Ya’an, 625014, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605