跳到主要导航
跳到搜索
跳到主要内容
北京理工大学 首页
English
中文
首页
师资队伍
研究单位
科研成果
奖项
按专业知识、名称或附属进行搜索
查看 Scopus 资料
吕 蒙
信息与电子学院
h-index
148
引用
8
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2013
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(19)
指纹图谱
深入其中 Meng Lv 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Computer Science
Hyperspectral Image
100%
Least Squares Method
81%
Collaborative Representation
71%
Experimental Result
54%
least square support vector machine
44%
Feature Extraction
37%
Dimensionality Reduction
37%
Support Vector Machine
36%
Hyperspectral Data
32%
Dimension Reduction Method
27%
Linear Discriminant Analysis
24%
Constraint Propagation
20%
Data Classification
20%
Functional Data Analysis
20%
Total Variation
20%
Demosaicing
20%
Multispectral Image
20%
Quadratic Programming
16%
Linear Equation
16%
Image Classification
16%
Classification Performance
14%
Projection Matrix
14%
Spectral Information
13%
Regularization Term
12%
Machine Learning
12%
Image Analysis
11%
Preprocessing Step
10%
Superpixel Segmentation
10%
Dimensional Feature Space
10%
Statistical Moment
8%
Learning Algorithm
8%
Decision Variable
8%
Small Sample Size
8%
World Application
6%
Unlabeled Sample
6%
Similarity Matrix
6%
Neighborhood Relation
6%
Spectral Dimension
6%
Supervised Method
6%
Embedding Method
6%
Statistical Property
6%
Deep Neural Network
6%
Spatial Information
6%
Temporal Resolution
6%
Spatial Resolution
6%
Neural Network
6%
Imaging Sensor
6%
Degradation Model
6%
Optimization Framework
6%
Process Optimization
6%
Engineering
Least Square
61%
Hyperspectral Image
61%
Support Vector Machine
54%
Experimental Result
24%
Feature Extraction
20%
Hyperspectral Imagery
20%
Multispectral Image
20%
Total Variation
20%
Metrics
18%
Data Point
17%
Dimensionality
15%
Image Classification
13%
Regularization
12%
Image Analysis
11%
Tasks
10%
Similarities
10%
Irregular Shape
10%
Statistical Moment
8%
Estimated Parameter
8%
Linear Equation
8%
Spectral Band
6%
Statistical Property
6%
Real World Application
6%
Deep Neural Network
6%
State-of-the-Art Method
6%
Simulation Result
6%
Spectral Information
6%
Network Training
6%
High Resolution
6%
Obtained Image
6%
Spatial Information
6%
Temporal Resolution
6%
Spatial Resolution
6%
Degradation Model
6%
Demonstrates
5%
Structure Information
5%
Sparsity
5%
Hyperspectral Data
5%
Mathematics
Tensor
61%
Least Square
61%
Matrix (Mathematics)
20%
Hypergraphs
20%
least square support vector machine
19%
Simple Graph
13%
Data Point
13%
Reduction Method
13%
Projection Matrix
13%
Support Vector Machine
8%
Estimated Parameter
6%
Quadratic Programming
6%
Dimensional Data
6%
Discriminant Analysis
6%
Statistical Property
6%
Training Sample
6%
Graph Embedding
6%
Original Data Set
6%
