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    SDM
    2004
    SIAM
    162views Data Mining» more  SDM 2004»
    Subspace Clustering of High Dimensional Data
    13 years 9 months ago
    Subspace Clustering of High Dimensional Data
    Download  alumni.cs.ucr.edu
    Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
    Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
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    AAAI
    1998
    181views Intelligent Agents» more  AAAI 1998»
    Applying Online Search Techniques to Continuous-State Reinforcement Learning
    13 years 9 months ago
    Applying Online Search Techniques to Continuous-State Reinforcement Learning
    Download  www.autonlab.org
    In this paper, we describe methods for e ciently computing better solutions to control problems in continuous state spaces. We provide algorithms that exploit online search to boo...
    Scott Davies, Andrew Y. Ng, Andrew W. Moore
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    UAI
    2003
    102views Artificial Intelligence» more  UAI 2003»
    Learning Module Networks
    13 years 9 months ago
    Learning Module Networks
    Download  jmlr.csail.mit.edu
    Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
    Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
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    ESANN
    2000
    163views Neural Networks» more  ESANN 2000»
    Distributed clustering and local regression for knowledge discovery in multiple spatial databases
    13 years 9 months ago
    Distributed clustering and local regression for knowledge discovery in multiple spatial databases
    Download  www.ist.temple.edu
    Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
    Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
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    WSCG
    2003
    310views more  WSCG 2003»
    Effective Shadow Detection in Traffic Monitoring Applications
    13 years 9 months ago
    Effective Shadow Detection in Traffic Monitoring Applications
    Download  wscg.zcu.cz
    This paper presents work we have done in detecting moving shadows in the context of an outdoor traffic scene for visual surveillance purposes. The algorithm just exploits some for...
    Alessandro Bevilacqua
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