Sentence examples for estimation of alignment from inspiring English sources
We describe algorithms for the concurrent estimation of alignment parameters, sensor resolutions and material thickness in the context of a beam test setup.
Using the same input sequences as the first approach, this alignment strategy uses SATé for joint estimation of alignment and phylogenetic trees without any prior processing of the alignment.
Joint estimation of alignment and phylogeny sidesteps biases that stem from conditioning on a single alignment by taking into account the ensemble of near-optimal alignments.
We introduce a time-dependent reversible indel process to the probabilistic framework for joint estimation of alignment and phylogeny of Redelings and Suchard [ 24].
We accomplish this through joint estimation of alignment and phylogeny in a Bayesian framework, drawing inference using Markov chain Monte Carlo.
As all models selected were fairly complex, we specified the most complex model presently implemented in BALI-PHY (the Tamura-Nei model [ 108]) for simultaneous estimation of alignment and phylogeny.
In this paper, the so called alignment calibration problem is transformed into the problem of estimation of the alignment parameters between two point series.
Essoussi et al. compared several alignment tools, indicating that no single tool can consistently outperform other ones by the estimation of quality alignment [35].
This method uses iterative estimation of the alignment (using nearest neighbour search) and conversion estimation (classical GMM conversion).
System architecture is presented and special emphasis is given to adopted solutions regarding real time integration of sensors and navigation measurements and high accuracy estimation of sensors alignment.
Recently, we proposed a modified version of this method called temporal-context INCA (TC-INCA), using context vectors instead of single spectral vectors, which lead to improved estimation of the alignment and to higher quality and similarity to the target speaker [13].
