In this paper a framework “Temporal-Vector Trajectory Learning” (TVTL) for human action recognition is proposed. In this framework, the major concept is that we would like to a...
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
This paper investigates the influence of different page features on the ranking of search engine results. We use Google (via its API) as our testbed and analyze the result rankin...
Albert Bifet, Carlos Castillo, Paul-Alexandru Chir...
Agent architectures have to cope with a number of internal properties (concerns), such as autonomy, learning, and mobility. As the agent complexity increases, these agent propertie...
At Wellesley College very rarely do the Fine Art and Computer Science faculty cross paths. That was the case until two years ago when we taught an experimental course that brought...