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Showing items 712866-712875 of 2346288 (234629 Page(s) Totally) << < 71282 71283 71284 71285 71286 71287 71288 71289 71290 71291 > >> View [10|25|50] records per page
| 國立交通大學 |
2014-12-08T15:27:34Z |
Recognition of handwritten similar Chinese characters by neural networks
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Fu, HC; Chen, JM |
| 國立交通大學 |
2014-12-08T15:27:17Z |
Recognition of handwritten similar Chinese characters by self-growing probabilistic decision-based neural networks
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Fu, HC; Xu, YY |
| 臺大學術典藏 |
2018-09-10T09:24:58Z |
Recognition of Highly Imbalanced Code-Mixed Bilingual Speech with Frame-Level Language Detection Based on Blurred Posteriorgram
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Ching-Feng Yeh;Aaron Heidel;Hong-Yi Lee;Lin-Shan Lee; Ching-Feng Yeh; Aaron Heidel; Hong-Yi Lee; Lin-Shan Lee; LIN-SHAN LEE |
| 國立臺灣海洋大學 |
2009 |
Recognition of HLA-DQ8 β cell peptidome using a computational program and its relationship to autoreactive T cells.
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Kuan Y. Chang; Emil R. Unanue |
| 國立臺灣科技大學 |
2009 |
Recognition of human actions using motion capture data and support vector machine
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Wang J.-Y.; Lee H.-M. |
| 國立交通大學 |
2014-12-08T15:34:15Z |
Recognition of hydrogen isotopomers by an open-cage fullerene
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Murata, Yasujiro; Chuang, Shih-Ching; Tanabe, Fumiyuki; Murata, Michihisa; Komatsu, Koichi |
| 國立臺灣海洋大學 |
2008-06 |
Recognition of Image Artifacts in Myocardial Perfusion SPECT Enhanced by Iterative Reconstruction
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Hung GU; Hsu BL; Gao CH |
| 中國醫藥大學 |
2010-06 |
Recognition of Image Artifacts on Myocardial Perfusion SPECT Enhanced by Iterative Reconstruction
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許百靈; 高嘉鴻(Chia-Hung Kao); 洪光威* |
| 國立臺灣科技大學 |
2008 |
Recognition of insulation status of high voltage cast-resin current transformers
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Wu R.-N.; Chung I.-H.; Chang C.-K.; Lin Y.-H. |
| 國立成功大學 |
2013-01-30 |
Recognition of large scale deep-seated landslides in forest areas of Taiwan using high resolution topography
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Lin, Ching-Weei; Tseng, Chih-Ming; Tseng, Yi-Hsing; Fei, Li-Yuan; Hsieh, Yu-Chung; Tarolli, Paolo |
Showing items 712866-712875 of 2346288 (234629 Page(s) Totally) << < 71282 71283 71284 71285 71286 71287 71288 71289 71290 71291 > >> View [10|25|50] records per page
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