In multi-instance learning, the training examples are bags composed of instances without labels and the task is to predict the labels of unseen bags through analyzing the training...
: Search is probably the most frequent activity on the Web. Yet it is not effortless, mainly due to heterogeneous information resources. Semantic search is a means to tackle the pr...
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...
This paper introduces a tree generating system called Lexicalized Context-Free Grammar (LCFG) and describes a cubic-time parser for it. LCFG embeds the elegance of the analyses fo...