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CAS IR Grid
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自动化研究所 [3]
沈阳自动化研究所 [2]
成都山地灾害与环境研... [1]
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期刊论文 [12]
会议论文 [2]
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Data Augmentation and Spectral Structure Features for Limited Samples Hyperspectral Classification
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 4, 页码: 20
作者:
Wang, Wenning
;
Liu, Xuebin
;
Mou, Xuanqin
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2021/04/19
hyperspectral classification
data augmentation
structural features
small sample classification
Plastome Evolution in the Hyperdiverse Genus Euphorbia (Euphorbiaceae) Using Phylogenomic and Comparative Analyses: Large-Scale Expansion and Contraction of the Inverted Repeat Region
期刊论文
OAI收割
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 712064
作者:
Wei,Neng
;
Perez-Escobar,Oscar A.
;
Musili,Paul M.
;
Huang,Wei-Chang
;
Yang,Jun-Bo
  |  
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2022/04/02
comparative genomics
organellar evolution
phylogenetic inference
plastome rearrangement
spurge family
structural variations
COMPLETE CHLOROPLAST GENOME
RETICULATE EVOLUTION
MOLECULAR PHYLOGENY
SUBSTITUTION RATES
MULTIPLE ALIGNMENT
DNA-SEQUENCES
CLASSIFICATION
REVEAL
PLANT
RECOMBINATION
Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score
期刊论文
OAI收割
NEUROIMAGE-CLINICAL, 2021, 卷号: 32, 页码: 9
作者:
Hu, Ke
;
Wang, Meng
;
Liu, Yong
;
Yan, Hao
;
Song, Ming
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/12/28
Schizophrenia
Classification
Structural magnetic resonance imaging
Gray matter volume
Polygenic risk score
Machine learning
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
作者:
Jin, Shichao
;
Su, Yanjun
;
Gao, Shang
;
Wu, Fangfang
;
Ma, Qin
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/03/01
Classification
deep learning
LiDAR
phenotype
segmentation
structural components
An ensemble learning system for a 4-way classification of Alzheimer's disease and mild cognitive impairment
期刊论文
OAI收割
JOURNAL OF NEUROSCIENCE METHODS, 2018, 卷号: 302, 页码: 75-81
作者:
Yao, Dongren
;
Calhoun, Vince D.
;
Fu, Zening
;
Du, Yuhui
;
Sui, Jing
  |  
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2018/10/10
Multi-class Classification
Feature Selection
Alzheimer's Disease(Ad)
Mild Cognitive Impairment (Mci)
Structural Mri
Hierarchical Classification
Relative Importance
An Ensemble Learning System for a 4-Way Classification of Alzheimer’s Disease and Mild Cognitive Impairment
期刊论文
OAI收割
Journal of Neuroscience Methods, 2018, 期号: ****, 页码: ***
作者:
Yao, Dongren
;
Vince, D. Calhoun
;
Fu, Zening
;
Du, Yuhui
  |  
收藏
  |  
浏览/下载:132/0
  |  
提交时间:2018/03/23
Multi-class Classification
Feature Selection
Alzheimer’s Disease(Ad)
Mild Cognitive Impairment (Mci)
Structural Mri
Hierarchical Classification
Relative Importance
Classification of microcrystalline celluloses via structures of individual particles measured by synchrotron radiation X-ray micro-computed tomography
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2017, 卷号: 531, 期号: 2, 页码: 658-667
作者:
Fang, Longwei
;
Yin, Xianzhen
;
Wu, Li
;
He, Yaping
;
He, Yuanzhi
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2019/01/08
Single particle
Structural classification
Microcrystalline cellulose
Synchrotron radiation X-ray micro computed tomography
Principal component analysis
Partial least square discriminant analysis
Structure alignment-based classification of RNA-binding pockets reveals regional RNA recognition motifs on protein surfaces
期刊论文
OAI收割
BMC BIOINFORMATICS, 2017, 卷号: 18, 页码: 13
作者:
Liu, Zhi-Ping
;
Liu, Shutang
;
Chen, Ruitang
;
Huang, Xiaopeng
;
Wu, Ling-Yun
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2018/07/30
RNA-binding pocket
Local structure classification
Structural alignment
Network clustering
Structure motif
Engineering geological classification of the structural planes for hydroelectric projects in Emeishan Basalts
期刊论文
OAI收割
Journal of Mountain Science, 2016, 卷号: 13, 期号: 2, 页码: 330-341
作者:
SUN Shu-qin
;
HUANG Run-qiu
;
PEI Xiang-jun
;
ZHAO Song-jiang
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2016/02/19
Emeishan basalt
Hydroelectric project
Structural plane
Bedding fault zone
Engineering geological classification
Evaluation of spatial upscaling methods based on remote sensing data with multiple spatial resolutions (EI CONFERENCE)
会议论文
OAI收割
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.
;
Gu L.
;
Cao J.
;
Chen H.
;
Sun J.
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2013/03/25
In most applications of remote sensing data
special spatial information is required from a finer to a coarser spatial resolution with appropriate upscaling methods. The purpose of this paper is to compare and evaluate current spatial upscaling methods using MODIS remote sensing data with multiple spatial resolutions. In the research
Northeast China was selected as the study area. MODIS data with spatial resolutions of 250 m (2 bands) and 500 m (7 bands) were used as the test data. Through using the selected upscaling methods
the Band 1 and Band 2 data of MODIS were scaled up from 250 m to 500 m spatial resolution. On the basis of land cover characteristics of Northeast China
the MODIS data located in the study area was classified into the five land cover types
including water
grasslands
forests
farmlands and bare lands using maximum likelihood method. The land cover classification results were further compared with MODIS Land Cover Type product. Finally
Structural Similarity (SSIM) was selected to evaluate the effects of these upscaling methods. The research can provide more useful information for spatial scaling transformation in remote sensing data applications. 2012 SPIE.