—We present an image retrieval system based on a combined search of text and content. The idea is to use the text present in title, description, and tags of the images for improv...
Juan Manuel Barrios, Diego Diaz-Espinoza, Benjamin...
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
Various intelligent component retrieval techniques have been developed to assist a developer discover or locate components in an efficient manner. These techniques share a common ...