This paper presents Markov random fields (MRFs) to segment strokes of Chinese characters. The distortions caused by the thinning process make the thinning-based stroke segmentatio...
Speech can be represented as a time/frequency distribution of energy using a multi-band filter bank. A Markov random field model, which takes into account the possible time asynch...
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
In the last years haplotype reconstruction and haplotype blocks discovery, i.e., the estimation of patterns of linkage disequilibrium (LD) in the haplotypes, riveted the attention ...
Alessandro Perina, Marco Cristani, Giovanni Malerb...
Static handwritten scripts are available only as images on documents and by definition do not contain dynamic information. This study is about extracting dynamic information from...