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查看 Scopus 资料
王 力
机械与车辆学院
h-index
3211
引用
18
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
2009
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(84)
指纹图谱
深入其中 Li Wang 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
3D Object Detection
94%
Augmented Reality
12%
Autonomous Driving
62%
Classification Performance
17%
Convolutional Neural Network
51%
Correlation Analysis
42%
Deep Learning
16%
Density Function
14%
Detection Method
15%
Dimensionality Reduction
20%
Disease Progression
18%
Efficient Algorithm
20%
Eigenvalue
18%
Eigenvector
18%
Experimental Result
46%
Expression Recognition
48%
Facial Expression
48%
Feature Extraction
44%
Feature Fusion
32%
Feature Selection
16%
Functional Connectivity
15%
Gabor feature
15%
Graph Convolutional Network
30%
hand gesture recognition
12%
High Dimensional Data
41%
Image Segmentation
24%
Image Similarity
12%
Indoor Mobile Robots
12%
Latent Structure
30%
Learning Framework
20%
Lower Dimensional Space
20%
Multi Class Classification
16%
Multiclass Classification
16%
Neighbourhood Graph
24%
Object Detection
12%
Object Detector
17%
Optimization Problem
32%
Point Cloud
60%
Pose Estimation
15%
Position Information
16%
Recurrent Neural Network
15%
Robot
100%
robotic platform
12%
Semisupervised Learning
48%
service robot
46%
Similarity Matrix
24%
Sparsity
18%
Structure Function
14%
structure learning
66%
Support Vector Machine
20%
Engineering
3D Object Detection
60%
Anchors
12%
Bounding Box
18%
Conducted Experiment
12%
Convolutional Neural Network
24%
Deep Learning
18%
Detection Algorithm
13%
Dimensionality
12%
Eigenvalue
18%
Experimental Result
24%
Facial Expression
24%
Feature Extraction
44%
Good Result
12%
Illustrates
12%
Image Fusion
12%
Image Matching
12%
Image Region
12%
Image Surface
18%
Light Detection and Ranging
12%
Limitations
12%
Local Binary Pattern
12%
Matching Algorithm
12%
Matching Model
12%
Mobile Robot
12%
Multi-Modal Fusion
23%
Multiscale
16%
Network Level
12%
Numerical Experiment
18%
Numerical Methods
18%
Optical Radar
68%
Optimisation Problem
20%
Orthogonality
18%
Plane Rotation
24%
Point Cloud
46%
Point Feature
12%
Pose Estimation
12%
Radar Range
58%
Real Life
12%
Recognition Model
12%
Recognition Rate
33%
Robot
54%
Scale Feature
12%
Scale Space
12%
Service Robot
16%
Similarities
12%
Spatial Attention
12%
Target Recognition
84%
Tasks
18%
Test Dataset
14%
Urban Transportation System
12%
Mathematics
Canonical Correlation Analysis
24%
Correlation Matrix
12%
Data Point
11%
Density Function
12%
Detection Limit
12%
Dimensional Data
11%
Dimensional Space
6%
Dimensionality Reduction
6%
Edge
12%
Eigenvalue
12%
Eigenvalue Problem
12%
Frobenius Norm
6%
Function Prediction
6%
Input Data
12%
KKT Condition
6%
Loss Function
12%
Lower and upper bounds
6%
Manifold
18%
Matrix (Mathematics)
27%
Maximum a posteriori estimation
10%
Newton Iteration
6%
Newton's Method
6%
Noisy Data
12%
Normal Equation
6%
Numerical Scheme
8%
Optimality
12%
Orthogonality
8%
Pairwise Distance
12%
Polynomial
12%
Polynomial Optimization
12%
Posterior Distribution
8%
Power Law Distribution
6%
Principal Component Analysis
12%
Real Data
6%
Refines
12%
Relaxation Method
12%
Research Trends
12%
Stochastics
12%
Synthetic Data
6%
Time Model
12%
Time Performance
12%
Wise Correlation
6%
