Sentence examples for approach for temporal from inspiring English sources

In this section, we describe a new approach for temporal filtering along the estimated motion trajectories.

The proposed method is a combination of the shifted Jacobi-Gauss collocation (SJ-G-C) approach for the spatial discretization and the shifted Jacobi-Gauss-Radau collocation (SJ-GR-C) approach for temporal discretization.

The usefulness of the proposed approach for temporal segmentation and anomaly detection is illustrated using the TSA airport tarmac surveillance dataset, the bank monitoring dataset, and the UCF database of human actions.

Conceptually similar approach for temporal alignment of endocytic patch dynamics has recently been independently described by Berro and Pollard (2014).

In Durinck et al. (2011), we introduced a novel approach for temporal ordering of genomic abnormalities that instead focused on assessing from a single sample of a single individual the internal ordering of chromosomal abnormalities.

Approaches for temporal and spatial control are further described to illustrate principles that may guide integrated rational design of 3D scaffolds.

Combining Flat and Structured Approaches for Temporal Slot Filling or: How Much to Compress?

Addressing the challenge of denitrification requires advances in three main areas: (1) improved methods for quantifying N gas fluxes, (2) experimental designs that incorporate hotspot and hot moment phenomena and (3) approaches for temporal and spatial scaling that account for hotspot and hot moment phenomena at multiple scales.

Compared to the existing statistical approaches for temporal gene expression data, our approach has the advantage of fitting a flexible covariance structure into a routine that incorporates mathematical equations for periodic gene expression profiles thereby making the estimation of the mean expression curve more robust to complex covariance phenomena arising in real practice.

Our approach allows for temporal changes of internal porosity and granule volume as a function of solid conversion, the incorporation of a particle size distribution, variable fluid properties and velocity, as well as accounting for the pressure drop in the bed.

He developed an approach for analyzing temporal trends in disease rates using the age-period-cohort modeling framework that has be used extensively in the analysis of cancer incidence and mortality trends.