This paper describes a novel image transform called Multi-Scale Autoconvolution which is invariant with respect to affine transformations of the spatial image coordinates. The tra...
In this paper, we propose a novel transform that preserves the dynamic range—infinity-norm rotation. This transform is perfectly reversible and piecewise linear, and keeps the m...
This work is intended to give some ideas to extract motion information from an image sequence. A directional energy is defined in terms of the 1-D Hermite transform coefficients o...
A new compilation technique for left-linear term-rewriting systems is presented, where rewrite rules are transformed into so-called minimal rewrite rules. These minimal rules have...
The paper extends the notion of linear programming boosting to handle uneven datasets. Extensive experiments with text classification problem compare the performance of a number o...