This paper address the problems of generating a low dimensional representation of the shape variation present in a set of shapes represented by a number of landmark points. First, we will present alternatives to the featured Least-Squares Procrustes alignment based on the L∞-norm and the L1-norm. Second, we will define a new shape decomposition based on the Maximum Autocorrelation Factor (MAF) ...

Three new algorithms based on minimization of autocorrelation of transmitted symbols and the SLM approach which are computationally less demanding have been proposed. In the first algorithm, autocorrelation of complex data sequence is minimized to a value of 1 that results in reduction of PAPR. Second algorithm generates multiple random sequences from the sequence generated in the first algorit...

because of the increasing importance of supplying water for the country, water resource management is of paramount importance. predicting precipitation, as one of the most important climatic parameters, is especially important in using water supplies. time series can be used to predict precipitation. time series analysis seems to be a suitable tool for such forecasting. the present work studies...

Analysis of fine scale genetic structure in continuous populations of outcrossing plant species has traditionally been limited by the availability of sufficient markers. We used a set of 468 SNPs to characterize fine-scale genetic structure within and between two dense stands of the wild ancestor of maize, teosinte (Zea mays ssp. parviglumis). Our analyses confirmed that teosinte is highly outc...

The contribution of this paper is the adaption of data driven methods for decomposition of tangent shape variability proposed in a probabilistic framework. By Bayesian model selection we compare two generative model representations derived by principal components analysis and by maximum autocorrelation factors analysis.

a Jožef Stefan Institute, Department of Knowledge Technologies, Jamova cesta 39, 1000 Ljubljana, Slovenia b Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia c Dipartimento di Informatica, Università degli Studi di Bari “Aldo Moro”, via Orabona 4, 70125 Bari, Italy d Centre of Excellence for Integrated Approaches in Chemistry and Biology of Proteins, Jamova 39,...