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    KAIS
    2008
    114views more  KAIS 2008»
    A new concise representation of frequent itemsets using generators and a positive border
    13 years 8 months ago
    A new concise representation of frequent itemsets using generators and a positive border
    Download  www.comp.nus.edu.sg
    A complete set of frequent itemsets can get undesirably large due to redundancy when the minimum support threshold is low or when the database is dense. Several concise representat...
    Guimei Liu, Jinyan Li, Limsoon Wong
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    JMIV
    2006
    185views more  JMIV 2006»
    Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements
    13 years 8 months ago
    Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements
    Download  www-sop.inria.fr
    In medical image analysis and high level computer vision, there is an intensive use of geometric features like orientations, lines, and geometric transformations ranging from simp...
    Xavier Pennec
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    JSAC
    2006
    105views more  JSAC 2006»
    Network Topology Inference Based on End-to-End Measurements
    13 years 8 months ago
    Network Topology Inference Based on End-to-End Measurements
    Download  www.cs.ust.hk
    Abstract--We consider using traceroute-like end-to-end measurement to infer the underlay topology for a group of hosts. One major issue is the measurement cost. Given hosts in an a...
    Xing Jin, Wai-Pun Ken Yiu, S.-H. Gary Chan, Yajun ...
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    JUCS
    2006
    112views more  JUCS 2006»
    A Multi-objective Genetic Approach to Mapping Problem on Network-on-Chip
    13 years 8 months ago
    A Multi-objective Genetic Approach to Mapping Problem on Network-on-Chip
    Download  www.jucs.org
    Abstract: Advances in technology now make it possible to integrate hundreds of cores (e.g. general or special purpose processors, embedded memories, application specific components...
    Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
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    PR
    2008
    161views more  PR 2008»
    A study on three linear discriminant analysis based methods in small sample size problem
    13 years 8 months ago
    A study on three linear discriminant analysis based methods in small sample size problem
    Download  www.public.asu.edu
    In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
    Jun Liu, Songcan Chen, Xiaoyang Tan
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