In example-based NLP, the problem of computational cost of example retrieval is severe, since the retrieval time increases in proportion to the number of examples in the database. This paper proposes a novel example retrieval method for avoiding full retrieval of examples. The proposed method has the following three features, 1) it generates retrieval queries from similarities, 2) ef-cient exam...

background: there is a fundamental correlation between follicles and endometrium in intracytoplasmic sperm injection (icsi) cycles. objective: to assess the relation between perifollicular perfusion and sub endometrial parameters in doppler ultrasonography and outcome of in icsi cycles. materials and methods: in this prospective deh1ive pilot study 10 patients were enrolled. strict inclusion cr...

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...

Retrievable inferior vena cava filters (rIVCFs) were developed to provide temporary protection from pulmonary embolism while minimizing the risk of filter-related deep venous thrombosis associated with permanent inferior vena cava filters. In practice, however, the majority of rIVCFs are left in place permanently, with historic retrieval rates as low as 8.5%. Although poor clinical follow-up of...

Background Retrieval of inferior vena cava filters (IVCFs) is important to decrease the long-term risk of complications associated with indwelling devices. Our hospital experienced low retrieval rates and implemented a low-cost intervention and evaluation for quality improvement. The working hypothesis was that a simple, mailed letter intervention could increase retrieval rates by increasing pa...

We review definitions of various concept classes called geometric patterns, which are based on a measure of visual similarity called the Hausdorff metric. These classes generalize multipleinstance learning models, and have possible applications to areas including robot vision, drug activity prediction, and content-based image retrieval. We also briefly describe algorithms (which have provable g...

The widespread use of the extensible Markup Language (XML) on the Web and in Digital Libraries brought about an explosion in the development of XML tools, including systems to store and access XML content. As the number of these systems increases, so is the need to assess their benefit to users. The benefit to a given user depends largely on which aspects of the user’s interaction with the syst...