This paper presents a novel schema to address the polysemy of visual words in the widely used bag-of-words model. As a visual word may have multiple meanings, we show it is possib...
In this paper, we present a new approach, called SATIS (Semantically AnnotaTed Intentions for Services), relying on semantic web technologies and models, to assist collaboration a...
In most cases when information is to be extracted from an image, there are priors available on the state of the world and therefore on the detailed measurements which will be obta...
In part of speech tagging by Hidden Markov Model, a statistical model is used to assign grammatical categories to words in a text. Early work in the field relied on a corpus which...
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...