浅谈增量学习支持向量机图像识别算法的设计
천담증량학습지지향량궤도상식별산법적설계
Incremental Support Vector Machine Learning Image Recognition Algorithm Design
  • 万方数据
    计算机光盘软件与应用 계산궤광반연건여응용
    COMPUTER CD SOFTWARE ADN APPLICATIONS
    2011年 18期 171-171 ,共1页

    廖隽婷%施荣华

    료준정%시영화

    增量学习%向量%算法 增量學習%嚮量%算法
    증량학습%향량%산법
    Incremental learning%Vector%Algorithm
    本文所提出的增量学习支持向量机图像识别算法是分为两阶段来执行：第一阶段是更新超平面参数的概率分布，第二阶段是更新输出值的概率分布，并反复的执行每一层更新的过程，接下来分别对这两阶段的架构做详细的说明。
    본문소제출적증량학습지지향량궤도상식별산법시분위량계단래집행：제일계단시경신초평면삼수적개솔분포，제이계단시경신수출치적개솔분포，병반복적집행매일층경신적과정，접하래분별대저량계단적가구주상세적설명。
    This paper proposed an incremental learning algorithm for support vector machine image recognition is performed in two stages：the first stage is to update the probability distribution of hyperplane parameters,the second stage is to update the output probability distribution,and repeated execution each layer of the update process,the next two phases of the structure,respectively, a detailed description.
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