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颜 珂
计算机学院
h-index
1891
引用
23
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
2014
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(48)
相似学者
(1)
指纹图谱
深入其中 Ke Yan 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
Experimental Result
84%
Sparse Representation
66%
Face Recognition
33%
Multi View Clustering
33%
Hashing
33%
Deep Learning
27%
Learning Framework
25%
Training Sample
23%
Convolutional Neural Network
22%
Computer Vision
20%
Image Search
20%
Constraint Graph
20%
Predictive Performance
20%
Support Vector Machine
20%
Deep Convolutional Neural Networks
19%
Art Performance
19%
Machine Learning
18%
Discriminative Feature
18%
Local Structure
16%
Ensemble Learning
16%
Ensemble Method
16%
Deep Transfer Learning
16%
Missing Information
16%
Prediction Performance
16%
palmprint
16%
Regularization Term
16%
Interpretability
16%
Prediction Model
16%
de-noising
16%
multi-objective evolutionary algorithm
16%
Representation Method
16%
Neural Architecture Search
16%
Image Sequence
16%
Prediction Accuracy
16%
Wavelet Transforms
16%
Feature Dimension
16%
Person Re-Identification
16%
Multi-View Learning
16%
Instance Level
16%
Hashing Method
16%
Multitask Learning
16%
Image Retrieval
16%
Scale-Invariant Feature Transform
16%
Computational Method
12%
Classifier
11%
Representation Learning
11%
Functional Representation
11%
Network Structures
11%
Feature Extraction
8%
Shared Information
8%
Biochemistry, Genetics and Molecular Biology
Protein Folds
100%
Protein Structure
63%
Peptide Sequence
60%
Extract
55%
Support Vector Machine
50%
DNA Template
49%
Antimicrobial Peptides
33%
RNA Binding
33%
RNA-binding Protein
20%
Nucleic Acid Binding
18%
MicroRNA
16%
DNA Binding
16%
Binding Protein
16%
DNA-binding Protein
16%
Structural Motif
16%
Intrinsically Disordered Protein
16%
Protein Data Bank
16%
Network Learning
16%
Immunoregulation
16%
Random Forest
16%
Origin of Replication
16%
Genetic Algorithm
16%
Subcellular Localization
16%
Natural Language Processing
16%
Information Retrieval
11%
Biological Functions
10%
Sequence Homology
9%
Protein Structure Prediction
8%
Short Term Memory
8%
Protein Motif
8%
Language Processing
5%
Artificial Neural Network
5%
Gene Expression
5%
Engineering
Experimental Result
48%
Convolutional Neural Network
33%
Feature Extraction
25%
Test Sample
25%
Search Algorithm
16%
Deep Learning
16%
Energy Constraint
16%
Function Analysis
16%
Long Short-Term Memory
16%
Main Reason
16%
Machine Learning Method
16%
Multi View Clustering
16%
Rank Tensor
16%
Multiobjective Genetic Algorithm
16%
Orthogonal Matching Pursuit
16%
Image Processing
8%
State-of-the-Art Method
8%
Recognition Accuracy
8%
Real Life
8%
Artificial Neural Network
8%
Machine Learning Technique
8%
Pursuit Algorithm
8%
Support Vector Machine
8%
Recognition Problem
8%
Performance Improvement
8%
Sample Structure
8%
Orthogonal Matrix
5%
Noisy Data
5%
Extracted Feature
5%
Electronic Nose
5%
Energy Engineering
5%
Computational Efficiency
5%
Computervision
5%
Scale Image
5%
