Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Tianshun Yao"'
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 5, Pp 1590-1596 (2021)
The existing image completion algorithms may result in problems of poor completion in the missing parts, excessive smoothing or chaotic structure of the completed areas, and large training cycle when processing more complex images. Therefore, a two-s
Externí odkaz:
https://doaj.org/article/40efe920523341aa9ba347287a2dca0a
Publikováno v:
Wang, S, Cao, D, Liu, R, Jiang, W, Yao, T & Lu, C X 2023, ' Human Parsing with Joint Learning for Dynamic mmWave Radar Point Cloud ', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 7, no. 1, 34, pp. 1-22 . https://doi.org/10.1145/3580779
Human sensing and understanding is a key requirement for many intelligent systems, such as smart monitoring, human-computer interaction, and activity analysis, etc. In this paper, we present mmParse, the first human parsing design for dynamic point c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::741793b0d25c8ee6340c837463e18ac5
https://hdl.handle.net/20.500.11820/60d81c7a-ee2e-4b1a-b483-9c756ed075e9
https://hdl.handle.net/20.500.11820/60d81c7a-ee2e-4b1a-b483-9c756ed075e9
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 5, Pp 1590-1596 (2021)
Tehnički vjesnik
Volume 28
Issue 5
Tehnički vjesnik
Volume 28
Issue 5
The existing image completion algorithms may result in problems of poor completion in the missing parts, excessive smoothing or chaotic structure of the completed areas, and large training cycle when processing more complex images. Therefore, a two-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a9dd6d2f2f0a76516c40619cc74a045
https://doi.org/10.17559/tv-20210616090311
https://doi.org/10.17559/tv-20210616090311
Publikováno v:
In Pattern Recognition 2010 43(10):3233-3242
Publikováno v:
International Journal of Computer Processing of Languages. 18:197-210
In this paper, we present a novel model for improving the performance of Domain Dictionary-based text categorization. The proposed model is named as Self-Partition Model (SPM). SPM can group the candidate words into the predefined clusters, which are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bac83ca5a40f7700623df1b959dcad2
https://doi.org/10.1142/s0219427905001304
https://doi.org/10.1142/s0219427905001304
Publikováno v:
ACM Transactions on Asian Language Information Processing. 3:243-269
This paper evaluates five supervised learning methods in the context of statistical spam filtering. We study the impact of different feature pruning methods and feature set sizes on each learner's performance using cost-sensitive measures. It is obse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::551e667bcc05603d6e7795be097ee615
https://doi.org/10.1145/1039621.1039625
https://doi.org/10.1145/1039621.1039625
Publikováno v:
Journal of Computers. 5
The fundamental matrix captures the intrinsic geometric properties of two images of a same 3D scene. It should be of rank two for all the epipolar lines to intersect in a unique epipole. Traditional methods of enforcing the rank two property of the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d1a83e505d1c5fd740737f5eda86364
https://doi.org/10.4304/jcp.5.7.1027-1037
https://doi.org/10.4304/jcp.5.7.1027-1037
Publikováno v:
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.
The projective recovery of 3D point structure from multiple images has been one of the classical problems in computer vision. Existing methods for projective reconstruction usually require a priori estimation of a consistent set of projective depths
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2f20e9b804989619e307e7e74dbaa75
https://doi.org/10.1109/icicisys.2009.5357720
https://doi.org/10.1109/icicisys.2009.5357720
Autor:
Tianshun Yao, Qing Chen
Publikováno v:
NLPKE
In this paper, by relabeling nodes generated during binarization of syntactic trees, contexts can be easily and systematically integrated. This not only helps to restructure syntactic trees to obtain smaller rules, that can be acquired and exploited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39facb067f851dfe6d298992725df6eb
https://doi.org/10.1109/nlpke.2009.5313745
https://doi.org/10.1109/nlpke.2009.5313745
Autor:
Tianshun Yao, Qing Chen
Publikováno v:
Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy ISBN: 9783642008306
ICCPOL
ICCPOL
This paper proposed a flattened syntactical phrase-based translation model for Statistical Machine Translation (SMT) learned from bilingual parallel parsed texts. The flattened syntactical phrases are sets of ordered leaf nodes with their father node
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a99c72d191939e8cb5307e94d8c316df
https://doi.org/10.1007/978-3-642-00831-3_34
https://doi.org/10.1007/978-3-642-00831-3_34