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    AAAI
    2008
    154views Intelligent Agents» more  AAAI 2008»
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    13 years 10 months ago
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    Download  www.cs.wfu.edu
    This work addresses the problem of in-the-dark traffic classification for TCP sessions, an important problem in network management. An innovative use of support vector machines (S...
    William H. Turkett Jr., Andrew V. Karode, Errin W....
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    SSWMC
    2004
    169views Security Privacy» more  SSWMC 2004»
    Steganalysis using color wavelet statistics and one-class support vector machines
    13 years 9 months ago
    Steganalysis using color wavelet statistics and one-class support vector machines
    Download  www.cs.dartmouth.edu
    Steganographic messages can be embedded into digital images in ways that are imperceptible to the human eye. These messages, however, alter the underlying statistics of an image. ...
    Siwei Lyu, Hany Farid
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    ICIP
    2003
    IEEE
    152views Image Processing» more  ICIP 2003»
    Color photo categorization using compressed histograms and support vector machines
    14 years 9 months ago
    Color photo categorization using compressed histograms and support vector machines
    Download  www.cs.nott.ac.uk
    In this paper, an efficient method using various histogrambased (high-dimensional) image content descriptors for automatically classifying general color photos into relevant categ...
    Xia Feng, Jianzhong Fang, Guoping Qiu
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    ACSW
    2004
    133views Security Privacy» more  ACSW 2004»
    Detecting Stress in Spoken English using Decision Trees and Support Vector Machines
    13 years 9 months ago
    Detecting Stress in Spoken English using Decision Trees and Support Vector Machines
    Download  crpit.com
    This paper describes an approach to the detection of stress in spoken New Zealand English. After identifying the vowel segments of the speech signal, the approach extracts two dif...
    Huayang Xie, Peter Andreae, Mengjie Zhang, Paul Wa...
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    BIOCOMP
    2006
    114views Bioinformatics» more  BIOCOMP 2006»
    Support Vector Machines for Predicting microRNA Hairpins
    13 years 9 months ago
    Support Vector Machines for Predicting microRNA Hairpins
    Download  ww1.ucmss.com
    - microRNAs (miRNAs) are 20-22 nt noncoding RNAs which are rapidly emerging as crucial regulators of gene expression in plants and animals. Identification of the hairpins which yie...
    Karol Szafranski, Molly Megraw, Martin Reczko, Art...
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