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    KES
    2006
    Springer
    135views Information Technology» more  KES 2006»
    The Repository Method for Chance Discovery in Financial Forecasting
    13 years 8 months ago
    The Repository Method for Chance Discovery in Financial Forecasting
    Download  cswww.essex.ac.uk
    Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...
    Alma Lilia Garcia-Almanza, Edward P. K. Tsang
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    NN
    2008
    Springer
    201views Neural Networks» more  NN 2008»
    Learning representations for object classification using multi-stage optimal component analysis
    13 years 8 months ago
    Learning representations for object classification using multi-stage optimal component analysis
    Download  ww2.cs.fsu.edu
    Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
    Yiming Wu, Xiuwen Liu, Washington Mio
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    PAMI
    2008
    179views more  PAMI 2008»
    Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
    13 years 8 months ago
    Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
    Download  www.svcl.ucsd.edu
    A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work introduces the mixtur...
    Antoni B. Chan, Nuno Vasconcelos
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    NPL
    2006
    113views more  NPL 2006»
    A Back-propagation Neural Network Landmine Detector Using the Delta-technique and S-statistic
    13 years 8 months ago
    A Back-propagation Neural Network Landmine Detector Using the Delta-technique and S-statistic
    Download  www.cs.ucf.edu
    Landmines are a major problem facing the world today; there are millions of these deadly weapons still buried in various countries around the world. Humanitarian organizations dedi...
    Taskin Koçak, Matthew Draper
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    SIAMSC
    2008
    198views more  SIAMSC 2008»
    Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
    13 years 8 months ago
    Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
    Download  acdl.mit.edu
    A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
    T. Bui-Thanh, Karen Willcox, Omar Ghattas
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