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计算机学院
北京理工大学
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师资队伍
(139)
科研成果
(5409)
指纹
深入其中 计算机学院 为活跃的研究主题。这些主题标签来自该组织中成员的成果。它们共同形成唯一的指纹。
分类
加权
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Computer Science
Experimental Result
100%
Convolutional Neural Network
28%
Deep Learning
23%
Attention (Machine Learning)
20%
Neural Network
14%
Annotation
14%
Classifier
13%
Representation Learning
13%
Social Network
13%
Image Segmentation
12%
Machine Learning
12%
Deep Neural Network
12%
Learning Framework
11%
Feature Extraction
11%
Language Modeling
11%
Art Performance
10%
Support Vector Machine
10%
Hyperspectral Image
10%
Subgraphs
10%
Detection Method
9%
Adversarial Machine Learning
9%
Generative Adversarial Networks
9%
Training Data
8%
Object Detection
8%
Sentiment Analysis
8%
Machine Translation
8%
Natural Language Processing
8%
Robot
8%
Energy Efficient
8%
Graph Neural Network
8%
Knowledge Base
8%
Feature Fusion
7%
Reinforcement Learning
7%
Graph Convolutional Network
7%
Internet of Things
7%
Tracking Algorithm
7%
local feature
7%
Contrastive Learning
7%
Pose Estimation
7%
Tracking Object
7%
Source Codes
7%
Action Recognition
6%
Blockchain
6%
Long Short-Term Memory Network
6%
Support Vector Machine
6%
Evaluation Result
6%
Deep Reinforcement Learning
6%
Clustering Algorithm
6%
Computer Vision
6%
Artificial Intelligence
6%
Domain Adaptation
6%
Regularization
6%
Complex Networks
6%
Appearance Model
6%
de-noising
6%
Data Augmentation
6%
Feature Space
6%
Decision-Making
6%
Text Classification
6%
Big Data
5%
Recommender Systems
5%
super resolution
5%
Syntactics
5%
Hashing
5%
Context Information
5%
Tracking Method
5%
Word Embedding
5%
Video Sequences
5%
Classification Task
5%
Image Classification
5%
Superior Performance
5%
Face Recognition
5%
Granularity
5%
Good Performance
5%
Federated Learning
5%
Malware
5%
Discriminator
5%
Image Retrieval
5%
Social Media
5%
Named Entity Recognition
5%
Learning Approach
5%
Bidirectional Encoder Representations From Transformers
5%
Refactoring
5%
Transfer Learning
5%
delay-tolerant network
5%
Engineering
Experimental Result
44%
Tasks
26%
Demonstrates
20%
Similarities
12%
Energy Engineering
10%
Deep Learning
10%
Nodes
9%
Convolutional Neural Network
9%
Simulation Result
8%
Feature Extraction
8%
Obtains
8%
Filtration
8%
Limitations
7%
State-of-the-Art Method
7%
Robot
7%
Computer Simulation
6%
Joints (Structural Components)
6%
Multiscale
6%
Hyperspectral Image
5%
Engineering
5%
Metrics
5%
Genetic Algorithm
5%