24 citations · 111 across the 26 of their papers we have counts for
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math.ST2017★ 1 cited
Quantifying the Estimation Error of Principal Components
Raphael Hauser, Raul Kangro, Jüri Lember +1
Principal component analysis is an important pattern recognition and dimensionality reduction tool in many applications. Principal components are computed as eigenvectors of a maxi…
math.ST2017
Existence of infinite Viterbi path for pairwise Markov models
Jüri Lember, Joonas Sova
For hidden Markov models one of the most popular estimates of the hidden chain is the Viterbi path -- the path maximising the posterior probability. We consider a more general sett…
stat.AP2017
Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images
Kristi Kuljus, Fekadu L. Bayisa, David Bolin +2
There is an interest to replace computed tomography (CT) images with magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. In this article, predictin…