This paper presents an application of the general sample-to-object approach to the problem of invariant image classification. The approach results in defining new SVM kernels base...
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
This paper addresses the issue of tracking translation and rotation simultaneously. Starting with a kernel-based spatial-spectral model for object representation, we define an ?-n...
Previously, we defined robust and easy-to-calculate error metrics for text entry research. Herein, we announce a software implementation of this error analysis technique. We build...
This paper presents patterns of cooperative interaction derived from ethnographic studies of cooperative work as devices for generalisation, re-use and design. These patterns cons...