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    GRC
    2007
    IEEE
    94views Applied Computing» more  GRC 2007»
    Precision and Recall in Rough Support Vector Machines
    14 years 11 months ago
    Precision and Recall in Rough Support Vector Machines
    Download  www2.cs.uregina.ca
    Abstract— Rough support vector machines (RSVMs) supplement conventional support vector machines (SVMs) by providing a better representation of the boundary region. Increasing int...
    Pawan Lingras, Cory J. Butz
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    PAKDD
    2005
    ACM
    111views Data Mining» more  PAKDD 2005»
    Training Support Vector Machines Using Greedy Stagewise Algorithm
    15 years 3 months ago
    Training Support Vector Machines Using Greedy Stagewise Algorithm
    Download  ttic.uchicago.edu
    Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this
    Liefeng Bo, Ling Wang, Licheng Jiao
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    IWBRS
    2005
    Springer
    145views Biometrics» more  IWBRS 2005»
    Face Authentication Using One-Class Support Vector Machines
    15 years 3 months ago
    Face Authentication Using One-Class Support Vector Machines
    Download  profs.sci.univr.it
    Abstract. This paper proposes a new method for personal identity verification based the analysis of face images applying One Class Support Vector Machines. This is a recently intr...
    Manuele Bicego, Enrico Grosso, Massimo Tistarelli
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    ICMLA
    2003
    169views Machine Learning» more  ICMLA 2003»
    Robust Support Vector Machines for Anomaly Detection in Computer Security
    14 years 11 months ago
    Robust Support Vector Machines for Anomaly Detection in Computer Security
    Download  www.cs.ucdavis.edu
    — Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...
    Wenjie Hu, Yihua Liao, V. Rao Vemuri
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    76
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    ICASSP
    2011
    IEEE
    204views Signal Processing» more  ICASSP 2011»
    Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data
    14 years 1 months ago
    Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data
    Download  mirlab.org
    In this paper, we propose an efficient and robust fall detection system by using a fuzzy one class support vector machine based on video information. Two cameras are used to capt...
    Miao Yu, Syed Mohsen Naqvi, Adel Rhuma, Jonathon A...
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