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    ICML
    2007
    IEEE
    184views Machine Learning» more  ICML 2007»
    Non-isometric manifold learning: analysis and an algorithm
    14 years 9 months ago
    Non-isometric manifold learning: analysis and an algorithm
    Download  www.machinelearning.org
    In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
    Piotr Dollár, Serge J. Belongie, Vincent Ra...
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    NIPS
    2008
    189views Information Technology» more  NIPS 2008»
    A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
    13 years 10 months ago
    A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
    Download  www.cis.upenn.edu
    We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...
    Abhinav Gupta, Jianbo Shi, Larry S. Davis
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    KDD
    2008
    ACM
    259views Data Mining» more  KDD 2008»
    Using ghost edges for classification in sparsely labeled networks
    14 years 9 months ago
    Using ghost edges for classification in sparsely labeled networks
    Download  reality.media.mit.edu
    We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
    Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
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    ECTEL
    2006
    Springer
    109views Machine Learning» more  ECTEL 2006»
    Finding Communities of Practice from User Profiles Based on Folksonomies
    14 years 13 days ago
    Finding Communities of Practice from User Profiles Based on Folksonomies
    Download  www.l3s.de
    User profiles can be used to identify persons inside a community with similar interests. Folksonomy systems allow users to individually tag the objects of a common set (e.g., web p...
    Jörg Diederich, Tereza Iofciu
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    IJCAI
    2007
    280views Artificial Intelligence» more  IJCAI 2007»
    Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
    13 years 10 months ago
    Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
    Download  www.ijcai.org
    Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a comp...
    Maleeha Qazi, Glenn Fung, Sriram Krishnan, R&oacut...
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