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    ICANN
    2009
    Springer
    141views Neural Networks» more  ICANN 2009»
    Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
    14 years 3 months ago
    Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
    Download  www.icsi.berkeley.edu
    Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
    Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutil...
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    ICANN
    2009
    Springer
    137views Neural Networks» more  ICANN 2009»
    Decomposition Methods for Detailed Analysis of Content in ERP Recordings
    14 years 3 months ago
    Decomposition Methods for Detailed Analysis of Content in ERP Recordings
    Download  www.ics.forth.gr
    The processes giving rise to an event related potential engage several evoked and induced oscillatory components, which reflect phase or non-phase locked activity throughout the mu...
    Vasiliki Iordanidou, Kostas Michalopoulos, Vangeli...
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    ICVS
    2009
    Springer
    226views Computer Vision» more  ICVS 2009»
    A System for Probabilistic Joint 3D Head Tracking and Pose Estimation in Low-Resolution, Multi-view Environments
    14 years 3 months ago
    A System for Probabilistic Joint 3D Head Tracking and Pose Estimation in Low-Resolution, Multi-view Environments
    Download  www.iosb.fraunhofer.de
    Abstract We present a new system for 3D head tracking and pose estimation in low-resolution, multi-view environments. Our approach consists of a joint particle filter scheme, that...
    Michael Voit, Rainer Stiefelhagen
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    ISNN
    2009
    Springer
    146views Neural Networks» more  ISNN 2009»
    A New Instance-Based Label Ranking Approach Using the Mallows Model
    14 years 3 months ago
    A New Instance-Based Label Ranking Approach Using the Mallows Model
    Download  www.uni-marburg.de
    In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...
    Weiwei Cheng, Eyke Hüllermeier
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    ISNN
    2009
    Springer
    211views Neural Networks» more  ISNN 2009»
    Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
    14 years 3 months ago
    Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
    Download  www.iipl.fudan.edu.cn
    Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
    Weiya Shi, Yue-Fei Guo
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