Accounting for human activity through physics does not require anything more than a switch of mind. Objectivity needs first to be recognized as an epistemological principle that s...
In recent years, extraction of temporal relations for events that express sentiments has drawn great attention of the Natural Language Processing (NLP) research communities. In thi...
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poo...
This paper presents a case study on the use of an alternative method of computer support to that normally used, one that uses voting as a tool for social rather than rational choi...