We propose an algorithm for large displacement opti-
cal flow estimation which does not require the commonly
used coarse-to-fine warping strategy. It is based on a
quadratic rel...
Abstract. We propose a new approach to the correspondence problem that makes use of non-parametric local transforms as the basis for correlation. Non-parametric local transforms re...
In this study a confidence measure for probability density functions (pdfs) is presented. The measure can be used in one-class classification to select a pdf threshold for class i...
Jarmo Ilonen, Pekka Paalanen, Joni-Kristian Kamara...
This paper presents a subject-independent EEG (Electroencephalogram) classification technique and its application to a P300-based word speller. Due to EEG variations across subje...
Soft biometrics, as a prescreening filter, contribute to a much smaller candidate pool and allow the overall query to perform better and faster. In this paper, we focus on the eff...