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    FGR
    2006
    IEEE
    147views Biometrics» more  FGR 2006»
    Cascaded Classification of Gender and Facial Expression using Active Appearance Models
    13 years 11 months ago
    Cascaded Classification of Gender and Facial Expression using Active Appearance Models
    Download  www.cl.cam.ac.uk
    This paper presents an approach to recognising the gender and expression of face images by means of Active Appearance Models (AAM). Features extracted by a trained AAM are used to...
    Yunus Saatci, Christopher Town
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    FQAS
    2006
    Springer
    92views Database» more  FQAS 2006»
    Multi-module Image Classification System
    13 years 11 months ago
    Multi-module Image Classification System
    Download  www.cs.indiana.edu
    In this paper, we propose an image classification system employing multiple modules. The proposed system hierarchically categorizes given sports images into one of the predefined s...
    Wonil Kim, Sangyoon Oh, Sanggil Kang, Dongkyun Kim
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    ESANN
    2006
    182views Neural Networks» more  ESANN 2006»
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
    13 years 9 months ago
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
    Download  www.see.ed.ac.uk
    A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
    Tong Boon Tang, Alan F. Murray
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    CSDA
    2006
    100views more  CSDA 2006»
    Identification of interaction patterns and classification with applications to microarray data
    13 years 7 months ago
    Identification of interaction patterns and classification with applications to microarray data
    Download  www.stat.uni-muenchen.de
    Emerging patterns represent a class of interaction structures which has been recently proposed as a tool in data mining. In this paper, a new and more general definition refering ...
    Anne-Laure Boulesteix, Gerhard Tutz
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    IDA
    2006
    Springer
    113views Information Technology» more  IDA 2006»
    Classification of symbolic objects: A lazy learning approach
    13 years 7 months ago
    Classification of symbolic objects: A lazy learning approach
    Download  www.di.uniba.it
    Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
    Annalisa Appice, Claudia d'Amato, Floriana Esposit...
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