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    » Co-Tracking Using Semi-Supervised Support Vector Machines
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    CSB
    2005
    IEEE
    133views Bioinformatics» more  CSB 2005»
    Investigation into Biomedical Literature Classification Using Support Vector Machines
    15 years 5 months ago
    Investigation into Biomedical Literature Classification Using Support Vector Machines
    Download  www.cc.gatech.edu
    Specific topic search in the PubMed Database, one of the most important information resources for scientific community, presents a big challenge to the users. The researcher typic...
    Nalini Polavarapu, Shamkant B. Navathe, Ramprasad ...
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    VLDB
    2007
    ACM
    164views Database» more  VLDB 2007»
    A new intrusion detection system using support vector machines and hierarchical clustering
    16 years 2 days ago
    A new intrusion detection system using support vector machines and hierarchical clustering
    Download  www.utdallas.edu
    Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
    Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
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    KDD
    2004
    ACM
    139views Data Mining» more  KDD 2004»
    Learning a complex metabolomic dataset using random forests and support vector machines
    16 years 7 days ago
    Learning a complex metabolomic dataset using random forests and support vector machines
    Download  math.uc.edu
    Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
    Young Truong, Xiaodong Lin, Chris Beecher
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    ICIP
    2000
    IEEE
    153views Image Processing» more  ICIP 2000»
    Gender Classification Using Support Vector Machines
    16 years 1 months ago
    Gender Classification Using Support Vector Machines
    Download  www.ece.umd.edu
    Ming-Hsuan Yang, Baback Moghaddam
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    ACIVS
    2005
    Springer
    203views Computer Vision» more  ACIVS 2005»
    Gender Classification in Human Gait Using Support Vector Machine
    15 years 5 months ago
    Gender Classification in Human Gait Using Support Vector Machine
    Download  eprints.ecs.soton.ac.uk
    We describe an automated system that classifies gender by utilising a set of human gait data. The gender classification system consists of three stages: i) detection and extraction...
    Jang-Hee Yoo, Doosung Hwang, Mark S. Nixon
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