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    PAMI
    2008
    208views more  PAMI 2008»
    BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
    13 years 10 months ago
    BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
    Download  vlm1.uta.edu
    This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
    Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
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    JMLR
    2008
    100views more  JMLR 2008»
    Hit Miss Networks with Applications to Instance Selection
    13 years 10 months ago
    Hit Miss Networks with Applications to Instance Selection
    Download  www.cs.ru.nl
    In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
    Elena Marchiori
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    JCB
    2008
    75views more  JCB 2008»
    New, Improved, and Practical k-Stem Sequence Similarity Measures for Probe Design
    13 years 10 months ago
    New, Improved, and Practical k-Stem Sequence Similarity Measures for Probe Design
    Download  algorithmics.molgen.mpg.de
    We define new measures of sequence similarity for oligonucleotide probe design. These new measures incorporate the nearest neighbor k-stem motifs in their definition, but can be e...
    Anthony J. Macula, Alexander Schliep, Morgan A. Bi...
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    IJPRAI
    2006
    100views more  IJPRAI 2006»
    Nearest Neighbor Discriminant Analysis
    13 years 10 months ago
    Nearest Neighbor Discriminant Analysis
    Download  www.ijcai.org
    Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
    Xipeng Qiu, Lide Wu
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    ESWA
    2008
    131views more  ESWA 2008»
    Classification of weld flaws with imbalanced class data
    13 years 11 months ago
    Classification of weld flaws with imbalanced class data
    Download  sci2s.ugr.es
    This paper presents research results of our investigation of the imbalanced data problem in the classification of different types of weld flaws, a multi-class classification probl...
    T. Warren Liao
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    EOR
    2010
    178views more  EOR 2010»
    Facility location problems in the plane based on reverse nearest neighbor queries
    13 years 11 months ago
    Facility location problems in the plane based on reverse nearest neighbor queries
    Download  www.fmf.uni-lj.si
    For a finite set of points S, the (monochromatic) Reverse Nearest Neighbor (RNN) rule associates with any query point q the subset of points in S that have q as its nearest neighb...
    Sergio Cabello, José Miguel Díaz-B&a...
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    BMCBI
    2007
    134views more  BMCBI 2007»
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    13 years 11 months ago
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    Download  www.biomedcentral.com
    Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
    Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
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    GIS
    2008
    ACM
    146views Automated Reasoning» more  GIS 2008»
    Similarity-based prediction of travel times for vehicles traveling on known routes
    13 years 12 months ago
    Similarity-based prediction of travel times for vehicles traveling on known routes
    Download  www.ismll.uni-hildesheim.de
    The use of centralized, real-time position tracking is proliferating in the areas of logistics and public transportation. Real-time positions can be used to provide up-to-date inf...
    Dalia Tiesyte, Christian S. Jensen
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    SODA
    1993
    ACM
    202views Algorithms» more  SODA 1993»
    Approximate Nearest Neighbor Queries in Fixed Dimensions
    14 years 4 days ago
    Approximate Nearest Neighbor Queries in Fixed Dimensions
    Download  www.cs.umd.edu
    Given a set of n points in d-dimensional Euclidean space, S ⊂ Ed , and a query point q ∈ Ed , we wish to determine the nearest neighbor of q, that is, the point of S whose Euc...
    Sunil Arya, David M. Mount
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    14 years 6 days ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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