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	AnANet: Association and Alignment Network for Modeling Implicit Relevance in Cross-Modal Correlation Classification 期刊论文 OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 7867-7880 作者: Xu, Nan; Wang, Junyan; Tian, Yuan; Zhang, Ruike; Mao, Wenji \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2024/03/26 Association and alignment network classification scheme cross-modal correlation implicit relevance
	Multi-label classification by exploiting local positive and negative pairwise label correlation 期刊论文 OAI收割 NEUROCOMPUTING, 2017, 卷号: 257, 页码: 164-174 作者: Huang, Jun; Li, Guorong; Wang, Shuhui \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2019/12/12 Multi-label classification k nearest neighbors Local label correlation Positive and negative label correlation
	On hyperspectral remotely sensed image classification based on MNF and AdaBoosting (EI CONFERENCE) 会议论文 OAI收割 2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, July 16, 2012 - July 18, 2012, Shanghai, China 作者: Yu P.; Yu P.; Gao X. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 As an effective statistical learning tool AdaBoosting has been widely used in the field of pattern recognition. In this paper a new method is proposed to improve the classification performance of hyperspectral images by combining the minimum noise fraction (MNF) and AdaBoosting. Because the hyperspectral imagery has many bands which have strong correlation and high redundancy the hyperspectral data are pre-processed by the minimum noise fraction to reduce the data's dimensionality whilst to remove noise bands simultaneously. Then we use an AdaBoost algorithm to conduct the classification of hyperspectral remotely sensed image. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.
	An improved hyperspectral classification algorithm based on back-propagation neural networks (EI CONFERENCE) 会议论文 OAI收割 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China 作者: Yu P.; Yu P. 收藏 \| 浏览/下载：35/0 \| 提交时间：2013/03/25 In this paper a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA) genetic algorithm (GA) and artificial neural networks (ANNs). First some characteristics of the hyperspectral remotely sensed data such as high correlation high redundancy etc. are investigated. Based on the above analysis we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.
	Stratigraphic architecture of the Neoproterozoic glacial rocks in the "Xiang-Qian-Gui" region of the central Yangtze Block, South China 期刊论文 OAI收割 PROGRESS IN NATURAL SCIENCE, 2004, 页码: 13-17 作者: Zhang Qirui; Chu Xuelei; Bahlburg, Heinrich; Feng Lianjun; Dobrzinski, Nicole \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2018/09/26 Neoproterozoic Glacial Rocks Central Yangtze Block Stratigraphic Architecture Classification And Correlation Stratigraphic Break
	Stratigraphic architecture of the Neoproterozoic glacial rocks in the "Xiang-Qian-Gui" region of the central Yangtze Block, South China 期刊论文 OAI收割 PROGRESS IN NATURAL SCIENCE, 2004, 页码: 13-17 作者: Zhang Qirui; Chu Xuelei; Bahlburg, Heinrich; Feng Lianjun; Dobrzinski, Nicole \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/09/26 Neoproterozoic Glacial Rocks Central Yangtze Block Stratigraphic Architecture Classification And Correlation Stratigraphic Break
	Classification of structurally related compounds from Astragalus extract by correlation of the logk(w) and S 期刊论文 OAI收割 chromatographia, 2000, 卷号: 51, 期号: 3-4, 页码: 212-220 作者: Xiao, HB; Liang, XM; Lu, PC 收藏 \| 浏览/下载：23/0 \| 提交时间：2015/11/10 column liquid chromatography classification of structurally related compounds correlation of the logk(w) and S complex unknown sample Astragalus extract