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Showing 1 to 5 of 5 for “"Approximate search"”.

  1. An approximate search engine for structure

    … databases grows, the need for efficiently searching these databases arises. Thanks to previous and ongoing research, searching by attribute-value and by text has become commonplace in these databases. However, searching by topological or physical structure, especially for large databases …

    njit Repository record for An approximate search engine for structure (opens in a new tab)

  2. WAQS : a web-based approximate query system

    … the amount of content available on it. However, searching for information on the Web has become increasingly difficult. Although query languages have long been part of database management systems, the standard query language being the Structural Query Language is not suitable for the Web content …

    njit Repository record for WAQS : a web-based approximate query system (opens in a new tab)

  3. Structure prediction for human parsing

    … standard tree model, despite the need to adopt approximate inference and learning procedures. The method uses an approximate search for inference, and an approximate structure learning method to learn. This thesis compares this method to state of the art methods on a dataset prepared at UIUC …

    uiuc Repository record for Structure prediction for human parsing (opens in a new tab)

  4. Active caching for recommender systems

    … available while carrying out browsing and searching tasks. Recommender systems substantially reduce the information overload by suggesting a list of similar documents that users might find interesting. However, generating these ranked lists requires an enormous amount of resources that …

    njit Repository record for Active caching for recommender systems (opens in a new tab)

  5. Large Scale Nearest Neighbor Search - Theories, Algorithms, and Applications

    … On these large scale data sets, nearest neighbor search is fundamental for lots of applications including content based search/retrieval, recommendation, clustering, graph and social network research, as well as many other machine learning and data mining problems. Exhaustive search is the …

    columbia-diss Repository record for Large Scale Nearest Neighbor Search - Theories, Algorithms, and Applications (opens in a new tab)