付出 发表于 2025-3-30 08:30:00
http://reply.papertrans.cn/67/6663/666257/666257_51.png摇曳的微光 发表于 2025-3-30 13:03:14
http://reply.papertrans.cn/67/6663/666257/666257_52.pngGenistein 发表于 2025-3-30 18:26:56
A Robust Method for Automatically Detecting Cracks on Noisy Concrete Surfacesng methods for automatic crack detection from noisy concrete surfaces. In this paper, we propose an automatic crack detection method after the preprocessings. The proposed method consists of two steps. One is relaxation process to prevent noises, and the other is a improved locally adaptive threshol雇佣兵 发表于 2025-3-30 23:20:40
An Integrated System of Face Recognitiontrol, personal service system, criminal verification, and security verification of finance. Our research focuses on the development of a human face recognition system. It is a challenge to correctly identify a human in an image under various possible situations including difference of lighting condiADOPT 发表于 2025-3-31 03:43:31
http://reply.papertrans.cn/67/6663/666257/666257_55.pngCRATE 发表于 2025-3-31 07:00:44
http://reply.papertrans.cn/67/6663/666257/666257_56.pngDRAFT 发表于 2025-3-31 11:09:52
http://reply.papertrans.cn/67/6663/666257/666257_57.pngATP861 发表于 2025-3-31 14:38:58
http://reply.papertrans.cn/67/6663/666257/666257_58.png使饥饿 发表于 2025-3-31 21:13:02
Hiding Predictive Association Rules on Horizontally Distributed Datative but non-trusting parties. In particular, algorithms to hide the Collaborative Recommendation Association Rules (CRAR) and to merge the (sanitized) data sets are introduced. Performance and various side effects of the proposed approaches are analyzed numerically. Comparisons of non-trusting andJAUNT 发表于 2025-3-31 23:10:56
Incremental Mining of Ontological Association Rules in Evolving Environmentsof ontology-incorporated data mining techniques. In our previous work, we have considered the problem of mining association rules with ontological information (called ontological association rules) and devised two efficient algorithms, called AROC and AROS, for discovering ontological associations t