— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
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...
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
This paper presents a nativeness classifier for English. The detector was developed and tested with TED Talks collected from the web, where the major non-native cues are in terms...