Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Fei Yin"'
Publikováno v:
International Journal of Parallel Programming. 50:27-64
With the rapid growth of artificial intelligence (AI), the Internet of Things (IoT) and big data, emerging applications that cross stacks with different techniques bring new challenges to parallel computing systems. These cross-stack functionalities
Autor:
Kun Lang, Suxu Tan, Jinding Liu, Wencai Jie, Rongjing Duan, Shuiqing Huang, Fei Yin, Wen Huang
Publikováno v:
Nucleic Acids Research
RNA-seq has been widely used in experimental studies and produced a massive amount of data deposited in public databases. New biological insights can be obtained by retrospective analyses of previously published data. However, the barrier to efficien
Publikováno v:
Advances in Artificial Systems for Logistics Engineering ISBN: 9783030804749
With the advent of the era of big data, enterprises pay increasing attention to the business process information recorded in the business system, which plays an important role in optimizing the business process. The smooth operation of warehousing bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35f92c1ce32726f48a0099ab3c3310c0
https://doi.org/10.1007/978-3-030-80475-6_6
https://doi.org/10.1007/978-3-030-80475-6_6
Autor:
Ruixin Duan, Wei Bai, Yuanyuan Li, Fei Yin, Xiao Yu, Changgui Kou, Weiying Yu, Min Zhang, Bo Zhu, Wanqing Hua
Publikováno v:
Spine. 45(12)
STUDY DESIGN .: A meta-analysis. OBJECTIVE .: The goal of this study was to accurately evaluate the risk ratio (RR) of recurrence in chordoma patients with wide margin after removing the tumors using surgery, compared with inadequate margin (intrales
Publikováno v:
Pattern Recognition. 118:108009
Handwritten signature verification is a challenging problem due to the high similarity between genuine signatures and skilled forgeries. In this paper, we propose a novel framework for off-line signature verification using a Deep Convolutional Siames
Publikováno v:
Pattern Recognition. 65:251-264
Handwritten Chinese text recognition based on over-segmentation and path search integrating multiple contexts has been demonstrated successful, wherein the language model (LM) and character shape models play important roles. Although back-off N-gram
Publikováno v:
Pattern Recognition. 49:7-18
In this paper, we propose a feature learning method for handwritten Chinese character recognition (HCCR), called discriminative quadratic feature learning (DQFL). Based on original gradient direction feature representation, quadratic correlation betw
Publikováno v:
Pattern Recognition
Pattern Recognition, Elsevier, 2020, 98, pp.107026. ⟨10.1016/j.patcog.2019.107026⟩
Pattern Recognition, Elsevier, 2020, 98, pp.107026. ⟨10.1016/j.patcog.2019.107026⟩
Multi-scale approaches have been widely used for achieving high accuracy for scene text detection, but they usually slow down the speed of the whole system. In this paper, we propose a two-stage framework for realtime multi-scale scene text detection
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-1
Despite the success of convolutional neural network (CNN) in conventional closed-set recognition (CSR), it still lacks robustness for dealing with unknowns (those out of known classes) in open environment. To improve the robustness of CNN in open-set
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
Multi-oriented and multi-lingual scene text detection plays an important role in computer vision area and is challenging due to the wide variety of text and background. In this paper, first, we point out the two key tasks when extending convolutional