In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). However, since users are usually unwillin...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Wei-Ying Ma, ...
1 One common assumption of the existing models of load balancing is that the weights of resources and I/O buffer size are statically configured. Though the static configuration ...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications . . . . . . . . . . . . . . . . . 23 R. Schmidt and L. Gierl Are Case-Based Reasoning and...
In this paper, we introduce the prototype of a low cost haptically augmented stylus for pen computing on touch screens. The stylus supports human-computer interaction through a dyn...