UNLABELLED motivation: Increasingly, biological processes are being studied through time series of RNA expression data collected for large numbers of genes. Because common processes may unfold at varying rates in different experiments or individuals, methods are needed that will allow corresponding expression states in different time series to be mapped to one another. RESULTS We present impl...

UNLABELLED Dynamic time warping (DTW) is a well-known quadratic time algorithm to determine the smallest distance and optimal alignment between two numerical sequences, possibly of different length. Originally developed for speech recognition, this method has been used in data mining, medicine and bioinformatics. For gene expression time series data, time warping distance is arguably a more fle...

Vocal Tract Length Normalization (VLTN), usually implemented as a frequency warping procedure (e.g. bilinear transformation), has been used successfully to adapt the spectral characteristics to a target speaker in speech recognition. In this study we exploit the same concept of frequency warping but concentrate explicitly on mapping the first four formant frequencies of 5 long vowels from sourc...

A method to improve the results of image enhancement is proposed. The method is based on pixel grid warping, the main idea is moving pixels in the direction of the nearest image edges. Warping allows to make edges sharper while keeping textured areas almost intact. Experimental applications of the proposed method for image enhancement algorithms show the improvement of image quality.