For about twenty years the standard color sampling method for RGBA volume data has been the interpolation of opacity-weighted colors. In this work, we discuss the underlying appro...
Shape averaging or signal averaging of time series data is one of the prevalent subroutines in data mining tasks, where Dynamic Time Warping distance measure (DTW) is known to work...
Reasoning about space has been a considerable field of study both in Artificial Intelligence and in spatial information theory. Many applications benefit from the inference of ...
In this work we propose the use of Functional Data Analysis (FDA) as a powerful methodology to tackle problems where multiple continuous speech parameters have to be analyzed join...
Similarity search in time series data is required in many application fields. The most prominent work has focused on similarity search considering either complete time series or si...