The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Abstract. Large document collections, such as those delivered by Internet search engines, are difficult and time-consuming for users to read and analyse. The detection of common an...
The Cluster-Weighted Modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It is a mixture density estimator around local models. To be specific, the inpu...
Appropriate use of group consensus on service consumers’ QoS opinions can improve web service discovery. Web service participants with different backgrounds or preferences may n...
Wei-Li Lin, Chi-Chun Lo, Kuo-Ming Chao, Nick Godwi...
An important problem in computer vision is to determine how features extracted from images are connected to an existing model. In this paper, we focus on solving the registration ...