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    » Dimensionality reduction and generalization
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    ICML
    2007
    IEEE
    180views Machine Learning» more  ICML 2007»
    Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps
    14 years 9 months ago
    Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps
    Download  www.machinelearning.org
    Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
    Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker
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    ICDE
    2003
    IEEE
    193views Database» more  ICDE 2003»
    An Adaptive and Efficient Dimensionality Reduction Algorithm for High-Dimensional Indexing
    14 years 10 months ago
    An Adaptive and Efficient Dimensionality Reduction Algorithm for High-Dimensional Indexing
    Download  www.comp.nus.edu.sg
    The notorious "dimensionality curse" is a well-known phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well known approach to o...
    Hui Jin, Beng Chin Ooi, Heng Tao Shen, Cui Yu, Aoy...
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    ICIP
    1997
    IEEE
    139views Image Processing» more  ICIP 1997»
    Dimensionality Reduction Using Multi-Dimensional Scaling for Content-Based Retrieval
    14 years 10 months ago
    Dimensionality Reduction Using Multi-Dimensional Scaling for Content-Based Retrieval
    Download  vision.ece.ucsb.edu
    Morris Beatty, B. S. Manjunath
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    TIT
    2008
    141views more  TIT 2008»
    Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
    13 years 8 months ago
    Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
    Download  rr.epfl.ch
    Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
    Olivier Roy, Martin Vetterli
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    AAAI
    2008
    117views Intelligent Agents» more  AAAI 2008»
    AnalogySpace: Reducing the Dimensionality of Common Sense Knowledge
    13 years 11 months ago
    AnalogySpace: Reducing the Dimensionality of Common Sense Knowledge
    Download  analogyspace.media.mit.edu
    We are interested in the problem of reasoning over very large common sense knowledge bases. When such a knowledge base contains noisy and subjective data, it is important to have ...
    Robert Speer, Catherine Havasi, Henry Lieberman
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