Due to increasing size and complexity of hypermedia and web applications, there is growing concern by how to develop quality, reusable and maintainable hypermedia systems. In fact...
In this paper we propose the method of multimodal corpus analysis to collect enough empirical data for modeling the behavior of embodied conversational agents. This is a prerequisi...
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Myocardial tagging in magnetic resonance imaging (MRI) has shown great potential for noninvasive measurement of the motion of a beating heart. A critical issue in exploiting this ...
– This paper addresses the exploitation of massive numbers of image-derived change detections. We use the term “change analysis” to emphasize the intelligence value obtained ...