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A Family of Divergences between Φ-Probabilistic Sets with Application to Handshape Recognition

机译:Φ概率集之间的一族散度及其在手形识别中的应用

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摘要

We introduce a family of divergences between Φ-probabilistic sets, with real supports. The supports are never unbounded to opposite sides. We start from weighted and percentiled dissimilarities between arbitrary unions of compact intervals of real numbers. As an application we model the problem of the recognition of a handshape as a metric problem between Φ-probabilistic sets. The proposed family of divergences is a suitable solution to this problem of comparing one handshape prototype, a Φ-probabilistic set, with one input handshape, a Φ-fuzzy set.
机译:我们介绍了Φ概率集之间的分歧,并提供了有力的支持。支撑永远都不会对立。我们从实数紧凑间隔的任意并集之间的加权和百分比差异开始。作为应用程序,我们对将手形识别为Φ概率集之间的度量问题进行建模。拟议的散度族是比较一个手形原型(一个Φ概率集合)和一个输入手形(一个Φ模糊集合)的问题的合适解决方案。

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