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    ESANN
    2008
    128views Neural Networks» more  ESANN 2008»
    A Method for Time Series Prediction using a Combination of Linear Models
    13 years 11 months ago
    A Method for Time Series Prediction using a Combination of Linear Models
    Download  www.dice.ucl.ac.be
    This paper presents a new approach for time series prediction using local dynamic modeling. The proposed method is composed of three blocks: a Time Delay Line that transforms the o...
    David Martínez-Rego, Oscar Fontenla-Romero,...
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    FGR
    2006
    IEEE
    108views Biometrics» more  FGR 2006»
    Regression and Classification Approaches to Eye Localization in Face Images
    14 years 1 months ago
    Regression and Classification Approaches to Eye Localization in Face Images
    Download  www.comp.leeds.ac.uk
    We address the task of accurately localizing the eyes in face images extracted by a face detector, an important problem to be solved because of the negative effect of poor localiz...
    Mark Everingham, Andrew Zisserman
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    NIPS
    2007
    117views Information Technology» more  NIPS 2007»
    Compressed Regression
    13 years 11 months ago
    Compressed Regression
    Download  www.cs.cmu.edu
    Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
    Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
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    FGR
    2006
    IEEE
    169views Biometrics» more  FGR 2006»
    Local Linear Regression (LLR) for Pose Invariant Face Recognition
    14 years 1 months ago
    Local Linear Regression (LLR) for Pose Invariant Face Recognition
    Download  www.jdl.ac.cn
    The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. ...
    Xiujuan Chai, Shiguang Shan, Xilin Chen, Wen Gao
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    ICML
    2005
    IEEE
    121views Machine Learning» more  ICML 2005»
    Combining model-based and instance-based learning for first order regression
    14 years 10 months ago
    Combining model-based and instance-based learning for first order regression
    Download  www.cs.kuleuven.ac.be
    T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
    Kurt Driessens, Saso Dzeroski
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