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    DEXA
    2009
    Springer
    153views Database» more  DEXA 2009»
    On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces
    14 years 3 months ago
    On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces
    Download  home.iitk.ac.in
    Arnab Bhattacharya, Purushottam Kar, Manjish Pal
    posted by purushot
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    FOCS
    2003
    IEEE
    135views Theoretical Computer Science» more  FOCS 2003»
    Bounded Geometries, Fractals, and Low-Distortion Embeddings
    14 years 1 months ago
    Bounded Geometries, Fractals, and Low-Distortion Embeddings
    Download  www.cs.washington.edu
    The doubling constant of a metric space (X, d) is the smallest value λ such that every ball in X can be covered by λ balls of half the radius. The doubling dimension of X is the...
    Anupam Gupta, Robert Krauthgamer, James R. Lee
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    AAAI
    2006
    156views Intelligent Agents» more  AAAI 2006»
    Embedding Heterogeneous Data Using Statistical Models
    13 years 10 months ago
    Embedding Heterogeneous Data Using Statistical Models
    Download  www.aaai.org
    Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
    Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
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    NIPS
    2004
    115views Information Technology» more  NIPS 2004»
    Euclidean Embedding of Co-Occurrence Data
    13 years 10 months ago
    Euclidean Embedding of Co-Occurrence Data
    Download  www.seas.upenn.edu
    Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
    Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
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    STOC
    2004
    ACM
    126views Algorithms» more  STOC 2004»
    Bypassing the embedding: algorithms for low dimensional metrics
    14 years 8 months ago
    Bypassing the embedding: algorithms for low dimensional metrics
    Download  www.cs.ust.hk
    The doubling dimension of a metric is the smallest k such that any ball of radius 2r can be covered using 2k balls of raThis concept for abstract metrics has been proposed as a na...
    Kunal Talwar
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