Defining information required by automatic test systems frequently involves a description of system behavior. To facilitate capturing the required behavior information in the cont...
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...
Image segmentation is an important processing step in many image, video and computer vision applications. Extensive research has been done in creating many different approaches an...