Title :
The applications of generalized learning in RSIRS
Author :
Min, Yao ; Zhou-Xiang, Shou ; Ming, W.U. ; Xiaoming, Zhao
Author_Institution :
Coll. of Comput., Zhejiang Univ., Hangzhou, China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
Generalized learning is a kind of integrated machine learning methods, which combines symbolic learning with connective learning, fuzzy learning and evolution learning. This paper discusses the fundamental principle for generalized learning first. Then the generalized learning is introduced to remote sensing image recognition system (RSIRS for short) to obtain certain knowledge from training sample set for classification. The experiment result has shown the validity of generalized learning in knowledge discovering.
Keywords :
data mining; generalisation (artificial intelligence); image recognition; learning (artificial intelligence); pattern classification; remote sensing; connective learning; evolution learning; fuzzy learning; generalized learning; knowledge discovering; machine learning methods; pattern classification; remote sensing image recognition system; symbolic learning; Application software; Data mining; Educational institutions; Fuses; Information analysis; Information science; Learning systems; Machine learning; Probes; Psychology;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1441614
