Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Thi-Ly Vu"'
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811593222
IWSDS
IWSDS
Chatbots and conversational systems are becoming a prominent research area, and many businesses are starting to leverage on their capability to handle basic communication tasks. With a vast variety of available frameworks for chat-bot development fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b506a58fb3365a8a14d1ea75a5f3287
https://doi.org/10.1007/978-981-15-9323-9_21
https://doi.org/10.1007/978-981-15-9323-9_21
Publikováno v:
APSIPA
Real telephony speech recognition task is challenging due to 1) diversified channel distortions and 2) limited access to the real data because of the data privacy consideration. In this paper, assuming no real telephony data are available, we employ
Publikováno v:
Tạp chí Khoa học và Công nghệ nhiệt đới.
Beta-glucosidase enzyme belongs to family GH3 is widely used in food, medicine and pharmaceutical industries. In order to quickly search for these enzyme coding sequences from DNA metagenomic data, in this study, bacterial-derived enzyme-coding seque
Autor:
Trung Dung Do, Chong Ho Lee, Van Huan Nguyen, Cheng-Bin Jin, Hakil Kim, Thi Ly Vu, Shengzhe Li
Publikováno v:
Journal of Computing Science and Engineering. 9:29-38
Human action recognition has become an important research topic in computer vision area recently due to many applications in the real world, such as video surveillance, video retrieval, video analysis, and human-computer interaction. The goal of this
Publikováno v:
Journal of Computing Science and Engineering. 8:207-214
In pedestrian detection applications, one of the most popular frameworks that has received extensive attention in recent years is widely known as a ‘Hough forest’ (HF). To improve the accuracy of detection, this paper proposes a novel split funct
Autor:
Chong Ho Lee, Thi Ly Vu
Publikováno v:
Journal of Image and Graphics. :54-58
Abstract—The paper presents new method to improve computational performance by introducing the mutual spatial feature in order to make strong visual cue in image parsing problem based on non-parametric model. This feature models the spatial con
Publikováno v:
Neural Information Processing ISBN: 9783642420504
ICONIP (3)
ICONIP (3)
This paper presents a novel approach for image parsing based on nonparametric model in superpixel level. Spatial context and mutual information between object co-occurrence are introduced and applied for improving the accuracy of image parsing. These
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdea816d6f7c8ad28184c9b85968e047
https://doi.org/10.1007/978-3-642-42051-1_23
https://doi.org/10.1007/978-3-642-42051-1_23