JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2012, Vol. 42 ›› Issue (6): 37-42.

• Articles • Previous Articles     Next Articles

Matrix metric learning algorithm based on likelihood ratio test with matrix normal distribution

QIAN Qiang, CHEN Song-can*   

  1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2012-11-02 Online:2012-12-20 Published:2012-11-02

PDF (PC)

1880

Abstract: Most metric learning algorithms involve tedious optimization procedure. In order to solve this problem, a metric for matrix data by using likelihood ratio test was defined based on the KISS algorithm (keep it simple and stupid). By introducing the matrix normal distribution into the likelihood ratio test, the proposed metric does not need to transform matrix pattern into vector pattern. The results showed that this algorithm could avoid the curse of dimension, could be more robust than KISS, and would not need to compute the inverse and eigen-decomposition of high dimensional matrix, which was faster than KISS. Experiments verified the advantages of the proposed algorithm.

Key words: matrix normal distribution, matrix metric, likelihood ratio test

CLC Number: 

  • TP391
[1] XIONG Bingyan, WANG Guoyin, DENG Weibin. Hierarchical cost sensitive decision tree and its application in the prediction of the mobile phone replacement [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(5): 36-42.
[2] WANG Xiaochu, WANG Shitong, BAO Fang. Image classification algorithm based on minimax probability machine with regularized probability density concensus [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(5): 13-21.
[3] ZHANG Dongbo, KOU Tao, XU Haixia. Fast scene recognition based on LDB descriptor and local spatial structure matching [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 16-23.
[4] CHEN Haiyong, YU Li, LIU Hui, YANG Jiabo, HU Qidi. Solar cell defect images fusion based on empirical wavelet [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 24-31.
[5] MOU Lianming. Weighted k sub-convex-hull classifier based on adaptive feature selection [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 32-37.
[6] SHEN Dongdong, ZHOU Fengyu, LI Mengyuan, WANG Shuqian, GUO Renhe. Indoor wireless positioning based on ensemble deep neural network [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 95-102.
[7] ZHANG Pu, LIU Chang, WANG Yong. Suggestion sentence classification model based on feature fusion and ensemble learning [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 47-54.
[8] WANG Guoxin, CHEN Fengdong, LIU Guodong. Feature extraction method of color pseudo-random coded structured light [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 55-60.
[9] HU Jianping, LI Xin, XIE Qi, LI Ling, ZHANG Daochang. An unconstrained optimization EMD approach in 2D based on Delaunay triangulation [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 9-15.
[10] LI Guangli, LIU Bin, ZHU Tao, YIN Yi, ZHANG Hongbin. Cross-media retrieval model based on choosing key canonical correlated vectors [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 38-46.
[11] WU Chenmou, FANG Zhijun, HWANG Jenqneng. Active driving behavior analysis algorithm based on monocular camera [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 69-76.
[12] ZHANG Xianhong, ZHANG Chunrui. Image enhancement algorithm based on six dimensional feedforward neural network model [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(4): 10-19.
[13] JIANG Shanshan, YANG Jing, FAN Liya. An image feature extraction method based on PDEs [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(4): 27-36.
[14] DOU Tingting, YAO Yuanxi, CHEN Peng, LU Deng. Arc modeling and practical simulation application based on ATP-EMTP [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(4): 102-108.
[15] HUANG Jinchao. A new method for muti-objects image segmentation based on faster region proposal networks [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(4): 20-26.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd