论文标题
可见性转换的签名功能
Signature features with the visibility transformation
论文作者
论文摘要
在本文中，我们将可见性转换放在明确的理论基础上，并表明这种转换能够以统一和有效的方式将数据流的绝对位置嵌入签名特征中。生成的特征集在模式识别任务中特别有用，因为它简化了允许签名功能集以适应绝对值和相对值的非线性函数。
In this paper we put the visibility transformation on a clear theoretical footing and show that this transform is able to embed the effect of the absolute position of the data stream into signature features in a unified and efficient way. The generated feature set is particularly useful in pattern recognition tasks, for its simplifying role in allowing the signature feature set to accommodate nonlinear functions of absolute and relative values.
