跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
在 國立陽明交通大學研發優勢分析平台 搜尋內容
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
A space-time delay neural network for motion recognition and its application to lipreading.
C. T. Lin
*
, H. W. Nein
,
Wen-Chieh Lin
*
此作品的通信作者
多媒體工程研究所
研究成果
:
Article
›
同行評審
17
引文 斯高帕斯(Scopus)
總覽
指紋
指紋
深入研究「A space-time delay neural network for motion recognition and its application to lipreading.」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Motion Recognition
100%
Delayed Neural Networks
100%
Neural Network
38%
Neural Space
23%
Time-space Domain
23%
Invariant Recognition
23%
Shift-invariant
23%
Generalization Ability
15%
Domain Recognition
15%
Spatiotemporal Shifts
15%
Image Sequence
15%
Motion-based
7%
Network-based Systems
7%
Unified Structure
7%
Feature Classification
7%
Spatio-temporal Feature Extraction
7%
Arabic numerals
7%
Feature Extraction
7%
Interface Control
7%
Lip Motion
7%
Network Space
7%
Node Type
7%
Space Domain
7%
Space-time Dynamics
7%
Domain-independent
7%
Multimodal Interfaces
7%
Recognition Ability
7%
Real Image
7%
Traffic Management System
7%
Recognition Task
7%
Single Framework
7%
Surveillance System
7%
Spatial Shift
7%
Partial Feature Extraction
7%
Temporal Shift
7%
Multilayer Perceptron
7%
Computer Vision
7%
Spatial-temporal Data
7%
Matrix Classes
7%
Dynamic Information
7%
Free Movement
7%
Computer Science
Neural Network
100%
time-delay
100%
Feature Extraction
17%
Image Sequence
11%
Generalization Ability
11%
Multimodal System
5%
Dependent Domain
5%
Traffic Control System
5%
Human Computer Interfaces
5%
Multilayer Perceptron
5%
Dynamic Information
5%
Computer Vision
5%
Engineering
Delay Time
100%
Time Domain
46%
Feature Extraction
23%
Image Sequence
15%
Control System
7%
Nodes
7%
Computervision
7%
Traffic Control
7%
Real Image
7%
Surveillance System
7%
Perceptron
7%