Background: Recently, Almeida and Vinga offered a new approach for the representation of arbitrary discrete sequences, referred to as Universal Sequence Maps (USM), and discussed ...
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
This paper presents a new method for the reconstruction of a surface from its ? and ? gradient field, measured, for example, via Photometric Stereo. The new algorithm produces the...
We present a novel fuzzy region-based hidden Markov model (frbHMM) for unsupervised partial-volume classification in brain magnetic resonance images (MRIs). The primary contributio...
The notion of Fast Fourier Transformation (FFT) describes a range of efficient algorithms to compute the discrete Fourier transformation, frequency distribution in a signal. FFT pl...