Sentence examples for model alignment problem from inspiring English sources

Lower registration rate on video collections actually reveals the fact that by using the photo collection codebook, only relevant video contents are considered for our model alignment problem.

In this study, we present a novel mixed integer linear programming model for the vertical alignment problem that considers both of these issues.

In this paper, we extended CNetQ, a novel network querying method based on the conditional random fields model, to solve network alignment problem, by adopting an iterative bi-directional mapping strategy.

The core of this algorithm was to replace the determining variables in the IsoRank with a random variable so as to establish a model for biological network alignment problem.

One such example is the pair hidden Markov model (pair-HMM), which has been especially popular in comparative sequence analysis for several reasons, including their effectiveness in modeling and detecting sequence homology, model simplicity, and the existence of efficient algorithms for applying the model to sequence alignment problems.

A large range of methods have been proposed for both of the two related but not identical problems: the alignment problem and the model scoring problem.

The development of models that fully optimize a three-dimensional road alignment problem is challenging due to numerous factors involved and complexities in the geometric specification of the alignment.

In this paper, we first resort to the deterministic channel model to gain some insights on the layered interference alignment problem and then extend the idea to general Gaussian interference channels.

(Dad diagnosed an alignment problem).

In this model, alignment becomes less important than conformity.

This reduces the alignment problem to minimizing a nonlinear sum-squared error function in order to best reconcile the observed images with the generative model.