Výsledky vyhledávání - "Luong, Chi Mai"

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Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery Models

Autor: Nguyen, Thai Binh, Nguyen, Quang Minh, Nguyen, Thi Thu Hien, Do, Quoc Truong, Luong, Chi Mai

Studies on the Named Entity Recognition (NER) task have shown outstanding results that reach human parity on input texts with correct text formattings, such as with proper punctuation and capitalization. However, such conditions are not available in

Externí odkaz: http://arxiv.org/abs/2010.00198

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AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function.

Autor: Pham, Tri-Cong^1,2,3, Luong, Chi-Mai^1,4, Hoang, Van-Dung⁵, Doucet, Antoine⁶ antoine.doucet@univ-lr.fr

Publikováno v: Scientific Reports. 9/1/2021, Vol. 11 Issue 1, p1-13. 13p.

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A-STAR: Toward translating Asian spoken languages

Autor: Sakti, Sakriani, Paul, Michael, Finch, Andrew, Sakai, Shinsuke, Vu, Thang Tat, Kimura, Noriyuki, Hori, Chiori, Sumita, Eiichiro, Nakamura, Satoshi, Park, Jun, Wutiwiwatchai, Chai, Xu, Bo, Riza, Hammam, Arora, Karunesh, Luong, Chi Mai, Li, Haizhou

Publikováno v: In Computer Speech & Language February 2013 27(2):509-527

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DEVELOPMENT OF HIGH-PERFORMANCE AND LARGE-SCALE VIETNAMESE AUTOMATIC SPEECH RECOGNITION SYSTEMS

Autor: Do Quoc Truong, Tran Hoang Tung, Luong Chi Mai, Pham Ngoc Phuong

Publikováno v: Journal of Computer Science and Cybernetics. 34:335-348

Automatic Speech Recognition (ASR) systems convert human speech into the corresponding transcription automatically. They have a wide range of applications such as controlling robots, call center analytics, voice chatbot. Recent studies on ASR for Eng

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f0d782173e8f8f5932df9b3b13ac6c50
https://doi.org/10.15625/1813-9663/34/4/13165

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Mô hình biểu diễn ảnh và phương pháp phân loại nhanh sử dụng các cấu hình tương tự

Autor: Luong Chi Mai

Publikováno v: Journal of Computer Science and Cybernetics. 3:18-24

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b8e2a7e05b22194fb796f18b581e1547
https://doi.org/10.15625/1813-9663/3/1/11230

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Ma trận Toeplitz và mã bình phương tối thiểu cho các đường cong số hóa

Autor: Luong Chi Mai, Fridrich Sloboda

Publikováno v: Journal of Computer Science and Cybernetics. 6:11-18

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::73d9b2d3ff545d13ff3280d7146cc7e2
https://doi.org/10.15625/1813-9663/6/3/11144

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Watermark by Learning Non-saliency

Autor: Dao Nam Anh, Luong Chi Mai, Pham Quang Huy

Publikováno v: Frontiers in Intelligent Computing: Theory and Applications ISBN: 9789813291850

This paper studies the capability of non-salient image regions and pattern selection for advancing the security robustness of region-based watermark. However, considerable unpredictability in the assigning image region for encryption exists, since sa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d6012b6f08a456a1103f06bbbd82650
https://doi.org/10.1007/978-981-32-9186-7_7

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