Volume 7 Number 2 (Feb. 2012)
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JCP 2012 Vol.7(2): 534-539 ISSN: 1796-203X
doi: 10.4304/jcp.7.2.534-539

High-performance Computing and Application of Zero-norm

LiYing Lang1, XueKe Jing2
1Hebei University of Engineering, Handan,056038,China
2College of Information and Electrical Engineering, Hebei University of Engineering, Handan,056038,China

Abstract—Whether sparseness can be effectively controlled is one of the key elements to measure the merits of the sparse coding algorithm. One-norm is primarily used in the sparse coding algorithm to control its sparseness currently, as well as by sparse approximation to control the sparseness of sparse coding model, but all these methods have led to slow convergence and low efficiency ultimately. In order to enhance the effectiveness of sparse coding algorithms, this paper selects zero-norm to control sparseness of the sparse coding model, and calculate after continuously extended at the discontinuous point of the model. We propose a highly efficient zero-norm sparse coding algorithm. This paper not only theoretically proves feasibility and efficiency of the algorithms which is capable of effectively controlling model sparseness, but also verifies the theoretical correctness of inference through experiments. These prove the operational efficiency of the algorithm is more efficient and stronger than existing algorithms.

Index Terms—Sparse matrix, non-negative sparse coding, sparseness, zero-norm, one-norm。


Cite: LiYing Lang, XueKe Jing, "High-performance Computing and Application of Zero-norm," Journal of Computers vol. 7, no. 2, pp. 534-539, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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