Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
As mobile applications become more pervasive, the need for assessing their quality, particularly in terms of efficiency (i.e. performance and resource utilisation), increases. Alt...
The vast majority of the features used in today’s commercially deployed image search systems employ techniques that are largely indistinguishable from text-document search – t...