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    » Markov Blanket Feature Selection for Support Vector Machines
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    CVPR
    2005
    IEEE
    185views Computer Vision» more  CVPR 2005»
    A Sparse Support Vector Machine Approach to Region-Based Image Categorization
    14 years 9 months ago
    A Sparse Support Vector Machine Approach to Region-Based Image Categorization
    Download  infolab.stanford.edu
    Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
    Jinbo Bi, Yixin Chen, James Ze Wang
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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    13 years 7 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    Download  www.biomedcentral.com
    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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    TIFS
    2010
    128views more  TIFS 2010»
    Steganalysis by subtractive pixel adjacency matrix
    13 years 6 months ago
    Steganalysis by subtractive pixel adjacency matrix
    Download  www.ws.binghamton.edu
    This paper presents a novel method for detection of steganographic methods that embed in the spatial domain by adding a low-amplitude independent stego signal, an example of which...
    Tomás Pevný, Patrick Bas, Jessica J....
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    BMCBI
    2005
    155views more  BMCBI 2005»
    Mining protein function from text using term-based support vector machines
    13 years 7 months ago
    Mining protein function from text using term-based support vector machines
    Download  www.biomedcentral.com
    Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
    Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
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    ICNC
    2005
    Springer
    163views Applied Computing» more  ICNC 2005»
    Support Vector Based Prototype Selection Method for Nearest Neighbor Rules
    14 years 1 months ago
    Support Vector Based Prototype Selection Method for Nearest Neighbor Rules
    Download  sci2s.ugr.es
    The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimizat...
    Yuangui Li, Zhonghui Hu, Yunze Cai, Weidong Zhang
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