The Signature Quadratic Form Distance is an adaptive similarity measure for flexible content-based feature representations of multimedia data.
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ABSTRACT. The Signature Quadratic Form Distance is an adaptive sim- ilarity measure for flexible content-based feature represen- tations of multimedia data.
The Signature Quadratic Form Distance is a distance-based similarity measure comparing flexible feature representations, so-called feature signatures.
The signature quadratic form distance has been introduced as an adaptive similarity measure coping with flexible content representations of multimedia data.
Oct 4, 2018 · X-Y refers to the difference between the two feature signatures, which is defined as a new feature signature such that (X-Y)(f) = X(f) – Y(f).
The Signature Quadratic Form Distance is introduced to measure the distance between two Gaussian mixture models of high-dimensional feature descriptors and ...
So in this work, the signature quadratic form distance is derived for the distribution similarity measurement. The contribution of this paper is as follows.
The feature signatures in connection with the signature quadratic form distance have become a respected similarity model for effective multimedia retrieval.
The Signature Quadratic Form Distance is a distance-based similarity measure comparing flexible feature representations, so-called feature signatures.
The signature of the quadratic form is the triple (n0, n+, n−), where these components count the number of 0s, number of 1s, and the number of −1s, ...