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    KAIS
    2008
    112views more  KAIS 2008»
    A hybrid aggregation and compression technique for road network databases
    13 years 10 months ago
    A hybrid aggregation and compression technique for road network databases
    Download  infolab.usc.edu
    Abstract Vector data and in particular road networks are being queried, hosted and processed in many application domains such as in mobile computing. Many client systems such as PD...
    Ali Khoshgozaran, Ali Khodaei, Mehdi Sharifzadeh, ...
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    MONET
    2008
    135views more  MONET 2008»
    Understanding the Power of Distributed Coordination for Dynamic Spectrum Management
    13 years 10 months ago
    Understanding the Power of Distributed Coordination for Dynamic Spectrum Management
    Download  www.cs.ucsb.edu
    This paper investigates a distributed and adaptive approach to manage spectrum usage in dynamic spectrum access networks. While previous works focus on centralized provisioning, w...
    Lili Cao, Haitao Zheng
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    NECO
    2008
    108views more  NECO 2008»
    An SMO Algorithm for the Potential Support Vector Machine
    13 years 10 months ago
    An SMO Algorithm for the Potential Support Vector Machine
    Download  ni.cs.tu-berlin.de
    We describe a fast Sequential Minimal Optimization (SMO) procedure for solving the dual optimization problem of the recently proposed Potential Support Vector Machine (P-SVM). The...
    Tilman Knebel, Sepp Hochreiter, Klaus Obermayer
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    NECO
    2008
    114views more  NECO 2008»
    A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
    13 years 10 months ago
    A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
    Download  fias.uni-frankfurt.de
    Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
    Cornelius Weber, Jochen Triesch
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    PAMI
    2008
    200views more  PAMI 2008»
    Principal Component Analysis Based on L1-Norm Maximization
    13 years 10 months ago
    Principal Component Analysis Based on L1-Norm Maximization
    Download  www.apsipa.org
    In data-analysis problems with a large number of dimension, principal component analysis based on L2-norm (L2PCA) is one of the most popular methods, but L2-PCA is sensitive to out...
    Nojun Kwak
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