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Showing items 495996-496005 of 2349129 (234913 Page(s) Totally)
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| 臺大學術典藏 |
2021-07-17T00:57:44Z |
Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
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Dou J;Yunus A.P;Bui D.T;Merghadi A;Sahana M;Zhu Z;Chen C.-W;Han Z;Pham B.T.; Dou J; Yunus A.P; Bui D.T; Merghadi A; Sahana M; Zhu Z; Chen C.-W; Han Z; Pham B.T.; CHI-WEN CHEN |
| 國立成功大學 |
2019 |
Improved Lane Detection With Multilevel Features in Branch Convolutional Neural Networks
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Yang;Wei-Jong;Cheng;Yoa-Teng;Chung;Pau-Choo |
| 國立臺灣大學 |
2003-12 |
Improved language model adaptation using existing and derived external resources
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Chang, Pi-Chuan; Lee, Lin-Shan |
| 臺大學術典藏 |
2003-12 |
Improved Language Model Adaptation Using Existing and Derived External Resources
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Chang, Pi-Chuan; Lee, Lin-Shan; LIN-SHAN LEE |
| 國立臺灣科技大學 |
2020 |
Improved Large DC Gain Converters with Low Voltage Stress on Switches Based on Coupled-Inductor and Voltage Multiplier for Renewable Energy Applications
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Chen, M.;Yin, C.;Loh, P.C.;Ioinovici, A. |
| 國立臺灣大學 |
2008 |
Improved Large Vocabulary Mandarin Speech Recognition by Selectively Using Tone Information with a Two-stage Prosodic Model
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Li-Wei Cheng; Lin-shan Lee |
| 臺大學術典藏 |
2018-09-10T07:08:38Z |
Improved Large Vocabulary Mandarin Speech Recognition by Selectively Using Tone Information with a Two-stage Prosodic Model
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Li-Wei Cheng; Lin-shan Lee; LIN-SHAN LEE |
| 國立臺灣大學 |
2006 |
Improved Large Vocabulary Mandarin Speech Recognition Using Prosodic Features
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Jui-Ting Huang; Lin-shan Lee |
| 臺大學術典藏 |
2018-09-10T06:02:36Z |
Improved Large Vocabulary Mandarin Speech Recognition Using Prosodic Features
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Jui-Ting Huang; Lin-shan Lee; LIN-SHAN LEE |
| 臺大學術典藏 |
2018-09-10T07:42:05Z |
Improved Lattice-Based Spoken Document Retrieval by Directly Learning from the Evaluation Measures
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Chao-Hong Meng;Hung-Yi Lee;Lin-shan Lee; Chao-Hong Meng; Hung-Yi Lee; Lin-shan Lee; HUNG-YI LEE; LIN-SHAN LEE |
Showing items 495996-496005 of 2349129 (234913 Page(s) Totally)
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