Invention Application
US20160365096A1 TRAINING CLASSIFIERS USING SELECTED COHORT SAMPLE SUBSETS 审中-公开
使用选择的联合样本附件培训分类器

  • Patent Title: TRAINING CLASSIFIERS USING SELECTED COHORT SAMPLE SUBSETS
  • Patent Title (中): 使用选择的联合样本附件培训分类器
  • Application No.: US15121004
    Application Date: 2014-03-28
  • Publication No.: US20160365096A1
    Publication Date: 2016-12-15
  • Inventor: Tobias BockletAdam Marek
  • Applicant: INTEL CORPORATION
  • International Application: PCT/PL2014/050017 WO 20140328
  • Main IPC: G10L17/04
  • IPC: G10L17/04 G10L17/16 G10L17/08 G10L17/02
TRAINING CLASSIFIERS USING SELECTED COHORT SAMPLE SUBSETS
Abstract:
Various systems, apparatuses, and methods for training classifiers using selected cohort sample subsets are disclosed herein, in an example, a set of target supervectors, representing a target class, is received, and a set of cohort supervectors, representing a cohort class, is received. A distance metric is calculated from a respective cohort supervector to a respective target supervector, and a proper subset of cohort supervectors are selected based on the calculated distance metrics. The set of target supervectors and the selected proper subset of cohort supervectors are used to train a classifier. Further examples described herein describe how training classifiers using selected cohort sample subsets may be used to increase performance and decrease resource consumption in voice biometric systems.
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