In this paper we propose a generic framework for event detection in broadcast video of multiple different field-sports. Features indicating significant events are selected, and ro...
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
In this paper we present a new Question Answering (QA) system based on redundancy and a new Passage Retrieval (PR) method oriented to QA. We suppose that in a large enough document...
The paper describes an innovative image annotation tool, based on a multi-class Support Vector Machine, for classifying image pixels in one of seven classes - sky, skin, vegetation...
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...