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Showing items 712856-712880 of 2346288 (93852 Page(s) Totally)
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| 國立臺灣大學 |
1984 |
Recognition of Fragment-Deleted Characters and Words
|
劉英茂; Liu, In-Mao |
| 淡江大學 |
2024-03-15T04:05:19Z |
Recognition of Glaucomatous Fundus Images Using Machine Learning Methods Based on Optic Nerve Head Topographic Features
|
Chen, Shih-hsin |
| 國立成功大學 |
1997 |
Recognition of handprinted numerals in VISA(R) card application forms
|
Chiang, Jung-Hsien; Paul Gader |
| 國立中山大學 |
2002 |
Recognition of handwritten characters by parts with multiple orientations
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Zi-Cai Li;H.J. Li;C.Y. Suen;H.Q. Wang;S.Y. Liao |
| 國立中山大學 |
2002 |
Recognition of handwritten characters by parts with multiple orientations
|
Zi-Cai Li;H.J. Li; C.Y. Suen; H.Q. Wang; S.Y. Liao |
| 國立交通大學 |
2014-12-08T15:27:45Z |
Recognition of handwritten Chinese characters by multi-stage neural network classifiers
|
Fu, HC; Chiang, KP |
| 國立交通大學 |
2014-12-08T15:27:13Z |
Recognition of handwritten Chinese characters by self-growing probabilistic decision-based neural networks
|
Fu, HC; Xu, YY |
| 國立交通大學 |
2014-12-08T15:04:55Z |
RECOGNITION OF HANDWRITTEN CHINESE CHARACTERS VIA SHORT LINE SEGMENTS
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LEE, HJ; CHEN, B |
| 義守大學 |
1998 |
Recognition of handwritten Chinese postal address using neural networks
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Yih-Ming Su; Jhing-Fa Wang |
| 國立交通大學 |
2018-08-21T05:53:03Z |
Recognition of handwritten Lanna Dhamma characters using a set of optimally designed moment features
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Inkeaw, Papangkorn; Charoenkwan, Phasit; Huang, Hui-Ling; Marukatat, Sanparith; Ho, Shinn-Ying; Chaijaruwanich, Jeerayut |
| 國立交通大學 |
2014-12-08T15:27:34Z |
Recognition of handwritten similar Chinese characters by neural networks
|
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
|
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.
|
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 |
| 亞洲大學 |
1996-1 |
Recognition of multi-font and multi-size printed Chinese characters using attributed graph representations and code matching
|
J. M. Chen;W. H. Tsai |
| 國立成功大學 |
2009-03 |
Recognition of multi-interval rules in dataset with continuous-valued attributes
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Huang, Yeu-Shiang; Huang, Bo-Chang |
| 淡江大學 |
2005-08-14 |
Recognition of Multiple PQ Disturbances Using Wavelet-based Neural Networks— Part 1: Theoretical Introduction
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蕭瑛東 |
| 淡江大學 |
2005-08-14 |
Recognition of Multiple PQ Disturbances Using Wavelet-based Neural Networks— Part 2: Implementation and Applications
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蕭瑛東 |
| 大葉大學 |
2014-10-05 |
Recognition of Packet Loss Speech Using the Most Reliable Reduced-Frame-Rate Data
|
Min, Lee Lee;Jean, Fu-Rong;Tan, Tan-Hsu;Chou, Jen-Hsiang |
Showing items 712856-712880 of 2346288 (93852 Page(s) Totally)
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