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Formulating speech separation as a binary classification
problem has been shown to be effective. While good
separation performance is achieved in matched test conditions
using kernel support vector machines
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A simple and robust scoring technique for binary classification
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efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found
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In this paper we present Discriminative Random Fields (DRF), a discrim- inative framework for the classification of natural image regions by incor- porating neighborhood spatial dependencies in the labels as well as the observed data. The proposed mo
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对一个具有150组80个元素的二进制输入矢量P，采用simal.m脚本文件进行自动分类的典型应用程序，其中取r=0.75，竞争层初始节点取10个，对ART1网络进行训练-Has 150 for a group of binary input vector P 80 elements, using simal. M scr ipt file for automatic classification of typical applications, including r = 0.75, the c
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In this paper, we systematically explore feature definition and selection strategies for sentiment polarity classification. We begin by exploring basic questions, such
as whether to use stemming, term frequency versus binary weighting, negation-enr
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