All of the existing N-point discrete fractional signal transforms require O(N2 ) computation complexity. In this paper, we propose a new discrete fractional signal transform whose...
In this work we present a novel method to model instance-level constraints within a clustering algorithm. Thereby, both similarity and dissimilarity constraints can be used coeval...
We exhibit a canonical basis of eigenvectors for the discrete Fourier transform (DFT). The transition matrix from the standard basis to defines a novel transform which we call ...
Using graph transformation as a formalism to specify model transformation, termination and confluence of the graph transformation system are often required properties. Only under ...
This paper describes an online learning method of color transformation for interactive object recognition. In order to recognize objects under various lighting conditions, the sys...