项目
发表于 2025-4-1 04:16:39
Semi-automatic Feature-Adaptive Relevance Feedback (SA-FR-RF) for Content-Based Image Retrieval,r complexity. Results achieved on a large image dataset show that the proposed algorithm outperforms previously proposed methods. Further, it is experimentally demonstrated that it approaches the results obtained by optimum feature selection techniques having complete knowledge of the data set.
NOCT
发表于 2025-4-1 09:22:33
A Visual Query Language for Uncertain Spatial and Temporal Data,on must be possible to carry out this cause further problem in development of the query languages. Here a visual query language for sensor data input is discussed from these perspectives to allow a complete set of spatial temporal queries by means of its visual user interface.
Consequence
发表于 2025-4-1 10:09:40
Luca Paolino,Monica Sebillo,Genoveffa Tortora,Giuliana Vitielloural network by performing experiment on the problem instances randomly generated. The results clearly indicate that the proposed method is effective and efficient for given size of problems with respect to solution quality and computation time.