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and completeness through sense disambiguation and contextual meta-data prepossessing. Our schemes exploits a linguistic ontology identifying query relevant homographs used to construct sense specific keyword sets allowing for enhanced image search and result ranking via the calculation of relatedness between query
This paper discusses a proposed mixed query image and text retrieval database, combining text-based search technology and image content-based search technology for more accurate results. The target application will be aimed at large, categorized image sets, such as large image collections of libraries or patent offices. It can be shown that this mixed query image search engine, can achieve better...
This paper proposes a new document retrieval (DR) and plagiarism detection (PD) system using multilayer self-organizing map (MLSOM). A document is modeled by a rich tree-structured representation, and a SOM-based system is used as a computationally effective solution. Instead of relying on keywords/lines, the proposed
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.