Sentence examples for query document from inspiring English sources

For each query document, its Hamming distance compared to all other documents in the data is computed and the top D similar documents are retrieved.

In most cases, in addition to the identification rate, the Top-K identification rates are also reported where for a given query document, a list of most similar K writers is retrieved which increases the chances of finding the true writer of the query document.

Techniques such as semantic hashing are quite attractive for information retrieval, because documents that are similar to the query document can be retrieved by finding all the memory addresses that differ from the memory address of the query document by a few bits.

Table 1 Search-on-speech applications Type of result (output) Type of query (input) Text Query Document SDR QbE-SDR Document+Position STD/KWS QbE-STD 'SDR' stands for Spoken Document Retrieval, 'STD' for Spoken Term Detection, 'KWS' for Keyword Spotting, and 'QbE' for Query-by-Example.

If you want, you can select another table and also move it to the query document.

Move them to the query document located in the middle of your screen.

Finally, the capability to query documents based on their content is also important to the implementation of search functionalities.

The use of wild card (*, ?, '//', etc). in the path expressions of a query allows users to query documents whose structural information is not available.

We propose in this paper an architecture for near-duplicate video detection based on: (i) index and query signature based structures integrating temporal and perceptual visual features and (ii) a matching framework computing the logical inference between index and query documents.

In this paper, we extend the structure of MDX into a new one containing complete constructs for querying document warehouses.

To calculate BM25 scores, bag-of-words queries (OR queries) are generated by decomposing FACTA + queries, document frequencies of the queries and the average document length are calculated by using the entire PubMed abstracts, and the parameters and are used.