|
|
Taiwan Academic Institutional Repository >
Browse by Author
|
"kuan ta wen"
Showing items 1-10 of 10 (1 Page(s) Totally)
1
View [10|25|50] records per page
| 國立成功大學 |
2016-05 |
A New Binary-Halved Clustering Method and ERT Processor for ASSR System
|
Chou, Chih-Hung; Kuan, Ta-Wen; Barma, Shovan; Chen, Bo-Wei; Ji, Wen; Peng, Chih-Hsiang; Wang, Jhing-Fa |
| 國立成功大學 |
2015-10 |
Trainable and Low-Cost SMO Pattern Classifier Implemented via MCMC and SFBS Technologies
|
Peng, Chih-Hsiang; Kuan, Ta-Wen; Lin, Po-Chuan; Wang, Jhing-Fa; Wu, Guo-Ji |
| 國立成功大學 |
2015-09-14 |
前瞻型橘色幸福科技國際深耕推廣普及計畫
|
Kuan, Ta-Wen |
| 國立成功大學 |
2015-05 |
Memory-efficient buffering method and enhanced reference template for embedded automatic speech recognition system
|
Chou, Chih-Hung; Kuan, Ta-Wen; Lin, Po-Chuan; Chen, Bo-Wei; Wang, Jhing-Fa |
| 國立成功大學 |
2015-03 |
Low-power enhanced system-on-chip design for sequential minimal optimisation learning core with tri-layer bus and butterfly-path accelerator
|
Peng, Chih-Hsiang; Lin, Po-Chuan; Barma, Shovan; Wang, Jhing-Fa; Peng, Hong-Yuan; Bharanitharan, Karunanithi; Kuan, Ta-Wen |
| 國立成功大學 |
2014-08 |
REC-STA: Reconfigurable and Efficient Chip Design With SMO-Based Training Accelerator
|
Peng, Chih-Hsiang; Chen, Bo-Wei; Kuan, Ta-Wen; Lin, Po-Chuan; Wang, Jhing-Fa; Shih, Nai-Sheng |
| 國立成功大學 |
2012-08 |
A new hybrid and dynamic fusion of multiple experts for intelligent porch system
|
Kuan, Ta-Wen; Tsai, Hsin-Chun; Wang, Jhing-Fa; Wang, Jia-Ching; Chen, Bo-Wei; Lin, Zong-You |
| 國立成功大學 |
2012-06-08 |
語者識別之超大型積體電路架構設計及其在智慧玄關應用之研究與實現
|
官大文; Kuan, Ta-Wen |
| 國立成功大學 |
2012-04 |
VLSI Design of an SVM Learning Core on Sequential Minimal Optimization Algorithm
|
Kuan, Ta-Wen; Wang, Jhing-Fa; Wang, Jia-Ching; Lin, Po-Chuan; Gu, Gaung-Hui |
| 東方設計學院 |
2011-10 |
Hardware/Software Co-design for Fast-trainable Speaker Identification System Based on SMO
|
Peng, Jr-Shiang; Wang, Jhing-Fa; Wang, Jia-Ching; Lin, Po-Chuan; Kuan, Ta-Wen; 林博川; (東方設計學院電子與資訊系) |
Showing items 1-10 of 10 (1 Page(s) Totally)
1
View [10|25|50] records per page
|
