Title :
Local subspace analysis for astronomical object detection and star/galaxy classification
Author :
Liu, Zhiyong ; Chiu, Kai Chun ; Xu, Lei
Author_Institution :
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, China
fDate :
6/24/1905 12:00:00 AM
Abstract :
A typical astronomical object detection and star/galaxy classification system is improved via considering a local subspace model which is developed under Bayesian ying-yang (BYY) normalization learning. Experimental result shows the model is beneficial to the tasks of feature extraction and clustering analysis of the original system
Keywords :
Bayes methods; astronomy; feature extraction; image classification; learning (artificial intelligence); object detection; pattern clustering; BYY normalization learning; Bayesian ying-yang normalization learning; astronomical object detection; clustering analysis; feature extraction; galaxy classification; local subspace analysis; star classification; Astronomy; Computer science; Councils; Feature extraction; Neural networks; Object detection; Pixel; Principal component analysis;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005605
