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    » Similarity Metrics for Aligning Children's Articulation Data
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    ACL
    1998
    104views Computational Linguistics» more  ACL 1998»
    Similarity Metrics for Aligning Children's Articulation Data
    13 years 6 months ago
    Similarity Metrics for Aligning Children's Articulation Data
    Download  www.aclweb.org
    Harold L. Somers
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    BMCBI
    2005
    198views more  BMCBI 2005»
    Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
    13 years 4 months ago
    Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
    Download  www.biomedcentral.com
    Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
    Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
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    BMCBI
    2007
    128views more  BMCBI 2007»
    Compression-based classification of biological sequences and structures via the Universal Similarity Metric: experimental assess
    13 years 5 months ago
    Compression-based classification of biological sequences and structures via the Universal Similarity Metric: experimental assess
    Download  www.biomedcentral.com
    Background: Similarity of sequences is a key mathematical notion for Classification and Phylogenetic studies in Biology. It is currently primarily handled using alignments. Howeve...
    Paolo Ferragina, Raffaele Giancarlo, Valentina Gre...
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    EKAW
    2006
    Springer
    89views Information Technology» more  EKAW 2006»
    Semantic Metrics
    13 years 8 months ago
    Semantic Metrics
    Download  www.cisa.informatics.ed.ac.uk
    In the context of the Semantic Web, many ontology-related operations, e.g. ontology ranking, segmentation, alignment, articulation, reuse, evaluation, can reduced to one fundamenta...
    Bo Hu, Yannis Kalfoglou, Harith Alani, David Duppl...
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    CVPR
    2010
    IEEE
    437views Computer Vision» more  CVPR 2010»
    Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing
    14 years 28 days ago
    Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing
    Download  visl.technion.ac.il
    Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
    Michael Bronstein, Alexander Bronstein, Nikos Para...
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