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查看斯高帕斯 (Scopus) 概要
王 家慶
教授
認知智慧與精準健康照護研究中心
資訊工程學系
https://orcid.org/0000-0003-0024-6732
電子郵件
jcw
csie.ncu.edu
tw
網站
https://mediasystem.csie.ncu.edu.tw/members
h-index
2354
引文
25
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
1997 …
2025
每年研究成果
概覽
指紋
網路
研究計畫
(28)
研究成果
(270)
類似的個人檔案
(6)
指紋
查看啟用 Jia-Ching Wang 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Computer Science
Experimental Result
100%
Support Vector Machine
81%
Convolutional Neural Network
61%
nonnegative matrix factorization
56%
Speech Recognition
46%
Matrix Factorization
42%
Deep Learning
41%
Neural Network
41%
Feature Extraction
32%
Sparse Representation
32%
Speaker Recognition
32%
Recognition System
30%
Speech Enhancement
30%
Image Segmentation
29%
Speaker Identification
26%
Mel Frequency Cepstral Coefficient
25%
Extracted Feature
25%
Source Separation
24%
Facial Expression
24%
Speech Coder
22%
Training Data
21%
Deep Neural Network
21%
Expression Recognition
21%
Support Vector Machine
21%
Video Summarization
19%
Face Recognition
19%
Long Short-Term Memory Network
19%
Dictionary Learning
18%
Recurrent Neural Network
18%
Representation Learning
18%
Action Recognition
18%
Recognition Rate
18%
Extreme Learning Machine
17%
Regularization
17%
Very large-scale integration (VLSI) architecture
17%
Deep Learning Model
16%
Machine Learning
16%
Noise Suppression
16%
MPEG7
15%
Attention (Machine Learning)
15%
Data Augmentation
14%
Frequency Scale
14%
Latent Dirichlet Allocation
14%
human action recognition
13%
Deep Recurrent Neural Network
13%
Particle Swarm Optimization
13%
Transfer Learning
12%
Receptive Field
11%
Image Classification
11%
Speech Recognition System
11%
Keyphrases
Support Vector Machine
55%
Non-negative Matrix Factorization
47%
Speech Enhancement
45%
Convolutional Neural Network
41%
Speech Recognition
33%
H.264 Encoder
32%
Mel Frequency Cepstral Coefficients
31%
Encoder
30%
Subspace Methods
30%
Neural Network
29%
Systems-based
29%
Deep Learning
26%
VLSI Design
26%
Deep Learning Methods
25%
Speaker Recognition System
25%
Sparse Coding
23%
Feature Extraction
22%
Environmental Sound Classification
22%
Facial Expression Recognition
22%
Intra Prediction
22%
Training Data
21%
Home Automation
21%
Chip Design
21%
Sparse Representation Classifier
20%
Face Recognition
19%
Deep Neural Network
19%
Speech Coder
19%
Speaker Recognition
19%
Complex Matrix Factorization
18%
Music Emotion Recognition
17%
Locality Preserving
17%
Hierarchical Extreme Learning Machine (H-ELM)
17%
Single-channel Blind Source Separation (SCBSS)
17%
Filter Bank
17%
Sound Events
17%
Fast Mode Decision
17%
Popular
16%
Recurrent Neural Network
16%
Sound Event Detection
16%
Recognition-based
16%
Dictionary
16%
Action Recognition
16%
Recognition System
15%
Speech Recognition System
15%
Matrix Factorization
15%
Frequency Map
15%
Speaker Identification
15%
Gaussian Process
15%
MPEG-7
15%
Vocoder
15%
Engineering
Experimental Result
70%
Support Vector Machine
56%
Speech Enhancement
53%
Deep Learning
37%
Source Separation
31%
Recurrent Neural Network
26%
Gaussians
26%
Single Channel
25%
Matrix Factorization
23%
Feature Extraction
23%
Mode Decision
22%
Convolutional Neural Network
21%
Deep Neural Network
20%
Tasks
20%
Time Domain
19%
Speaker Identification
17%
Extreme Learning Machine
17%
Filterbank
17%
Bit Rate
17%
Receptive Field
16%
Recognition Rate
15%
Simulation Result
15%
Low Bit Rate
15%
Dictionary Learning
14%
Speaker Recognition
13%
Regularization
13%
Fast Algorithm
12%
Field Programmable Gate Arrays
11%
Similarities
11%
Signal-to-Noise Ratio
11%
Embedded System Design
11%
Edge Strength
11%
Detection Algorithm
11%
Recognizer
10%
Dirichlet
10%
Blind Signal Separation
9%
Orthogonal Matching Pursuit
9%
Sound Source
9%
Computational Load
9%
Spectrogram
9%
Fixed Point Arithmetic
8%
Encoding Complexity
8%
Particle Swarm Optimization
8%
Illustrates
8%
Gain Function
8%
Computational Complexity
8%
Noise Suppression
8%
Sparse Coding
8%
Long Short-Term Memory
8%
Gradient Approach
8%
