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    EMNLP
    2007
    146views Natural Language Processing» more  EMNLP 2007»
    Learning to Merge Word Senses
    15 years 18 days ago
    Learning to Merge Word Senses
    Download  www.stanford.edu
    It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
    Rion Snow, Sushant Prakash, Daniel Jurafsky, Andre...
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    BMVC
    2002
    110views Computer Vision» more  BMVC 2002»
    Alignment using Spectral Clusters
    15 years 1 months ago
    Alignment using Spectral Clusters
    Download  www.bmva.ac.uk
    This paper describes a hierarchical spectral method for the correspondence matching of point-sets. Conventional spectral methods for correspondence matching are notoriously suscep...
    Marco Carcassoni, Edwin R. Hancock
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    IROS
    2009
    IEEE
    126views Robotics» more  IROS 2009»
    Hierarchical appearance-based classifiers for qualitative spatial localization
    15 years 5 months ago
    Hierarchical appearance-based classifiers for qualitative spatial localization
    Download  elderlab.yorku.ca
    —This paper presents a novel appearance-based technique for qualitative spatial localization. A vocabulary of visual words is built automatically, representing local features tha...
    Ehsan Fazl Ersi, James H. Elder, John K. Tsotsos
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    EDM
    2010
    129views Data Mining» more  EDM 2010»
    Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
    15 years 18 days ago
    Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
    Download  educationaldatamining.org
    While students' skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [...
    Rebecca Nugent, Nema Dean, Elizabeth Ayers
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    SIGIR
    2000
    ACM
    137views Information Technology» more  SIGIR 2000»
    An investigation of linguistic features and clustering algorithms for topical document clustering
    15 years 3 months ago
    An investigation of linguistic features and clustering algorithms for topical document clustering
    Download  www.cs.columbia.edu
    We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
    Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
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