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Meng Lv
School of Information and Electronics
h-index
148
Citations
8
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2013
2024
Research activity per year
Overview
Fingerprint
Network
Research output
(19)
Fingerprint
Dive into the research topics where Meng Lv is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
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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%
