![Phân tích tư tưởng của nhân dân qua đoạn thơ: Những người vợ nhớ chồng… Những cuộc đời đã hóa sông núi ta trong Đất nước của Nguyễn Khoa Điềm](https://timtailieu.net/upload/document/136415/phan-tich-tu-tuong-cua-nhan-dan-qua-doan-tho-039-039-nhung-nguoi-vo-nho-chong-nhung-cuoc-doi-da-hoa-song-nui-ta-039-039-trong-dat-nuoc-cua-nguyen-khoa-136415.jpg)
High-level fuzzy linguistic features of facial components in human emotion recognition
Số trang: 27
Loại file: pdf
Dung lượng: 796.45 KB
Lượt xem: 12
Lượt tải: 0
Xem trước 3 trang đầu tiên của tài liệu này:
Thông tin tài liệu:
This research aims to develop an artificial intelligent model based on psychological knowledge to recognize emotions by analyzing facial expressions. Moreover, the proposed model has defined high-level fuzzy linguistic features of facial components which distinguish it from existing methods that commonly use lowlevel image features.
Nội dung trích xuất từ tài liệu:
High-level fuzzy linguistic features of facial components in human emotion recognition
Nội dung trích xuất từ tài liệu:
High-level fuzzy linguistic features of facial components in human emotion recognition
Tìm kiếm theo từ khóa liên quan:
Information and communication technology High-level fuzzy linguistic features Facial components in human emotion recognition Artificial intelligent model High-level fuzzy linguisticTài liệu liên quan:
-
Context ontology in mobile applications
24 trang 41 0 0 -
E government systems and its impact on quality of service at public hospitals in Amman (filed study)
5 trang 39 0 0 -
Impact of it an innovation on business education
6 trang 29 0 0 -
Understanding EFL teachers' knowledge and skills via TPACK framework
10 trang 28 0 0 -
A new approach for video concept detection based on user comments
21 trang 26 0 0 -
Optimization of attribute selection model using bio - inspired algorithms
21 trang 25 0 0 -
37 trang 25 0 0
-
Mayesian network of traffic accidents in Malaysia
12 trang 22 0 0 -
Editorial: E-health: Accessing knowledge for global health
5 trang 19 0 0 -
Knowledge - based decision support system for emergency management: The pandemic framework
30 trang 19 0 0