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查看 Scopus 资料
马 波
计算机学院
h-index
2116
引用
17
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
2004
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(88)
相似学者
(2)
指纹图谱
深入其中 Bo Ma 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
Appearance Model
36%
Appearance Variation
13%
Approximation (Algorithm)
14%
Art Performance
13%
Attention (Machine Learning)
21%
Candidate Object
17%
Classification Models
22%
Classifier
14%
Component Analysis
22%
Computational Cost
12%
Convolutional Network
12%
Convolutional Neural Network
42%
Covariance Matrix
27%
Data Augmentation
13%
Deep Learning
17%
Dictionary Learning
14%
Discriminant Analysis
29%
Distance Metric
16%
Experimental Result
100%
Face Recognition
25%
facial image
11%
Feature Extraction
28%
Feature Selection
11%
Feature Space
24%
High Dimensionality
14%
Instance Segmentation
14%
Learning Framework
18%
Learning Problem
14%
Local Coordinate
11%
Local Descriptor
22%
Model Retrieval
22%
Object Contour
22%
Object Detection
33%
Optimization Problem
15%
Partial Differential Equation
14%
Principal Components
22%
Random Decision Forest
14%
second order statistic
13%
Semisupervised Learning
19%
Sparse Representation
42%
Subnetwork
12%
super resolution
14%
Tracking Algorithm
68%
Tracking Method
47%
Tracking Object
71%
Transformation Parameter
11%
Unlabeled Data
11%
Video Sequences
18%
Visual Dictionary
14%
Weak Classifier
14%
Engineering
Appearance Model
7%
Classification Problem
5%
Computervision
11%
Convolutional Neural Network
7%
Deep Neural Network
7%
Dimensionality
7%
Distance Metric Learning
7%
Environmental Noise
7%
Experimental Result
35%
Feature Extraction
16%
Feature Space
6%
Gaussian Mixture Model
9%
Gaussians
7%
Genetic Algorithm
7%
Global Structure
7%
Hazards
7%
Human Motion
7%
Image Analysis
7%
Image Understanding
7%
Kalman Filter
11%
Learning System
7%
Level Set
7%
Limitations
7%
Local Descriptor
7%
Matching Network
7%
Model Parameter
7%
Model Uncertainty
7%
Motion Blur
7%
Multiple Cluster
11%
Multistage
7%
Natural Scene
7%
Network Boundary
7%
Object Recognition
7%
Observation Model
14%
Partial Occlusion
7%
Recognition Model
9%
Regularization
7%
Similarities
18%
Single Image
7%
Sparse Coding
22%
State-of-the-Art Method
13%
Stereo Matching
7%
Subnetwork
7%
Subspace Method
7%
Target Recognition
7%
Tasks
12%
Tensor
12%
Tracking Algorithm
6%
