Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Yi-Dong Shen"'
Autor:
Yi-Dong Shen, 沈一東
102
This research focused on the precaution for the major event and the proper response to the emergency. Nowadays, more and more people appeal to participant in the major events in Taiwan because our government has put a lot of effort to promot
This research focused on the precaution for the major event and the proper response to the emergency. Nowadays, more and more people appeal to participant in the major events in Taiwan because our government has put a lot of effort to promot
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/h3eyv4
Autor:
Yi-Dong Shen, 沈義棟
98
When Typhoon Sinlaku passed through Taiwan on September 14, 2008, a landslide occurred on the high steep slope of the New Middle-Transverse Highway in Feng-Qiu, Nantou. Seven persons were killed by the fallen earth and stone in such a tragic
When Typhoon Sinlaku passed through Taiwan on September 14, 2008, a landslide occurred on the high steep slope of the New Middle-Transverse Highway in Feng-Qiu, Nantou. Seven persons were killed by the fallen earth and stone in such a tragic
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/70206372688856814855
Autor:
Yi-Dong Shen, Kewen Wang
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:821-827
The FLP semantics presented by (Faber, Leone, and Pfeifer 2004) has been widely used to define answer sets, called FLP answer sets, for different types of logic programs such as logic programs with aggregates, description logic programs (dl-programs)
Autor:
Yi-Dong Shen, Thomas Eiter
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Should the properties of constraint monotonicity and foundedness be mandatory requirements that every answer set and world view semantics must satisfy? This question is challenging and has incurred a debate in answer set programming (ASP). In this pa
Publikováno v:
Proceedings of the Nineteenth International Conference on Principles of Knowledge Representation and Reasoning.
Rule learning from large datasets has regained extensive interest as rules are useful for developing explainable approaches to many applications in knowledge graphs. However, existing methods for rule learning are still limited in terms of scalabilit
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:11125-11133
Clustering ensemble generates a consensus clustering result by integrating multiple weak base clustering results. Although it often provides more robust results compared with single clustering methods, it still suffers from the robustness problem if
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 32:1497-1511
The clustering ensemble has emerged as an important extension of the classical clustering problem. It provides an elegant framework to integrate multiple weak base clusterings to generate a strong consensus result. Most existing clustering ensemble m
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 16:1-23
Matching images and sentences demands a fine understanding of both modalities. In this paper, we propose a new system to discriminatively embed the image and text to a shared visual-textual space. In this field, most existing works apply the ranking
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 31:1592-1601
The goal of person reidentification (Re-ID) is to identify a given pedestrian from a network of nonoverlapping surveillance cameras. Most existing works follow the supervised learning paradigm which requires pairwise labeled training data for each pa