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Showing 1 to 7 of 7 for “"pattern extraction"”.

  1. Pattern extraction and clustering for high-dimensional discrete data

    … with existing methods for real applications in pattern extraction, document clustering, transaction data mining, recommender systems, bicluster discovery in gene expression data, social network mining, and image representation.

    uiuc Repository record for Pattern extraction and clustering for high-dimensional discrete data (opens in a new tab)

  2. Semantic pattern discovery in open information extraction

    Open information extraction (OpenIE) is a novel paradigm that produces structured information from unstructured text with minimum or no supervision. The task involves extracting relevant relation tuples or expressions from a text corpus. Existing methods in the domain tend to produce a large …

    uiuc Repository record for Semantic pattern discovery in open information extraction (opens in a new tab)

  3. Automatic identification of musical schemata

    … culturally–defined classification of polyphonic patterns. Under the premises of the GMST and by relating notions from psychology towards a cognitive model for musical schemata identification, an explanatory system based on music-analytical thought–patterns was examined, aiming to describe the …

    de-montfort Repository record for Automatic identification of musical schemata (opens in a new tab)

  4. An intelligent analysis of policing data for identity resolution

    … techniques offer a solution by automating pattern extraction and reducing reliance on manually coded rules. This research proposes a fuzzy approach for identity resolution, combining unsupervised learning with fuzzy string similarity metrics to improve identity matching. The model …

    london-metro Repository record for An intelligent analysis of policing data for identity resolution (opens in a new tab)

  5. Entity-relation search: context pattern driven relation ranking

    … simply by occurrence frequency. The monotone pattern extraction, adopted in their relation phrase extraction model, provides high quality entity relations but also fail to return many potential true relations in the corpus, which has been explained in Section 4.2 and affects recall …

    uiuc Repository record for Entity-relation search: context pattern driven relation ranking (opens in a new tab)

  6. Biometric Person Identification Using Near-infrared Hand-dorsa Vein Images

    … the improvement of computer vision as well as pattern recognition technologies. Hand vein patterns have been recognised as a good biometric measure for personal identification due to many excellent characteristics, such as uniqueness and stability, as well as difficulty to copy or forge. This …

    cent-lancashire Repository record for Biometric Person Identification Using Near-infrared Hand-dorsa Vein Images (opens in a new tab)

  7. Deep Learning Based Methods for Automatic Extraction of Syntactic Patterns and their Application for Knowledge Discovery

    … the relevance of syntactic dependency patterns (SDPs). Thankfully, semantic relationships exhibit adherence to distinct SDPs when connecting pairs of entities. Recognizing this fact underscores the critical importance of extracting these SDPs, particularly for specific semantic …

    iupui Repository record for Deep Learning Based Methods for Automatic Extraction of Syntactic Patterns and their Application for Knowledge Discovery (opens in a new tab)