Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chao, Dian"'
This report provides a detailed description of the method we explored and proposed in the OSR Challenge at the OOD-CV Workshop during ECCV 2024. The challenge required identifying whether a test sample belonged to the semantic classes of a classifier
Externí odkaz:
http://arxiv.org/abs/2409.20277
Treating texts as images, combining prompts with textual labels for prompt tuning, and leveraging the alignment properties of CLIP have been successfully applied in zero-shot multi-label image recognition. Nonetheless, relying solely on textual label
Externí odkaz:
http://arxiv.org/abs/2407.04994
In this paper, we introduce a grounded video question-answering solution. Our research reveals that the fixed official baseline method for video question answering involves two main steps: visual grounding and object tracking. However, a significant
Externí odkaz:
http://arxiv.org/abs/2407.01907
Image-to-image translation is a technique that focuses on transferring images from one domain to another while maintaining the essential content representations. In recent years, image-to-image translation has gained significant attention and achieve
Externí odkaz:
http://arxiv.org/abs/2403.17639
In this paper, we propose a solution for improving the quality of captions generated for figures in papers. We adopt the approach of summarizing the textual content in the paper to generate image captions. Throughout our study, we encounter discrepan
Externí odkaz:
http://arxiv.org/abs/2403.17342
Autor:
Chen, Shyi-Ming, Chen, Chao-Dian
Publikováno v:
In Expert Systems With Applications 2011 38(4):3857-3864
Autor:
Chao-Dian Chen, Shyi-Ming Chen
Publikováno v:
Expert Systems with Applications. 38:3857-3864
People usually use many methods to predict the weather, the temperature, the stock index, the enrollments, the earthquake, the economy, etc. Based on these forecasting results, people can prevent damages to occur or get benefits from the forecasting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aa3d80e11e4367716dc6f4f32f61164
https://doi.org/10.1016/j.eswa.2010.09.046
https://doi.org/10.1016/j.eswa.2010.09.046
Autor:
Shyi-Ming Chen, Chao-Dian Chen
Publikováno v:
IEEE Transactions on Fuzzy Systems. 19:1-12
In this paper, we present a new method to forecast the daily Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) based on fuzzy time series and fuzzy variation groups, where the main input factor is the previous day's TAIEX, and the sec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::232df953d7248b7af35b245024c92df8
https://doi.org/10.1109/tfuzz.2010.2073712
https://doi.org/10.1109/tfuzz.2010.2073712
Autor:
Chao-Dian Chen, Shyi-Ming Chen
Publikováno v:
SMC
In this paper, we present a new method to forecast the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) based on high-order fuzzy logical relationships. First, the proposed method fuzzifies the historical data into fuzzy sets to form
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f550553222b39b4b47ab1799c9a0e652
https://doi.org/10.1109/icsmc.2009.5346231
https://doi.org/10.1109/icsmc.2009.5346231
Autor:
Chao-Dian Chen, 陳晁典
97
In this thesis, we present two new methods to handle forecasting problems based on fuzzy time series and fuzzy logical relationships. In the first method, we present a new method to forecast the Taiwan Stock Exchange Capitalization Weighted S
In this thesis, we present two new methods to handle forecasting problems based on fuzzy time series and fuzzy logical relationships. In the first method, we present a new method to forecast the Taiwan Stock Exchange Capitalization Weighted S
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/38418111128707767479