Sentence examples for multimodal data sets from inspiring English sources

We describe and analyze the presented approach in detail, and apply it to real-world multimodal data sets from biology, medicine, meteorology and engineering.

The two main factors hindering the application of advanced volumetric illumination models to multimodal data sets are rendering complexity and memory consumption.

At the same time, the increased storage requirements of multimodal data sets forbid to exploit precomputation results, which are often facilitated by advanced volume illumination algorithms to reduce the amount of per-frame computations.

We will show how to exploit illumination-importance metrics, to compress and transform multimodal data sets into an illumination-aware representation, which is accessed during rendering through a novel light-space-based volume rendering algorithm.

Due to space constraints, however, the SF-MDA aims to investigate and compare the construal of the textual metafunction in two multimodal data sets that comprised three students' major assignments and a tutor's two sample texts on a key topic in the Integrated Marketing Topics course, namely a marketing plan.

Data integration and annotation go hand-in-hand, and in particular for complex multimodal data sets, annotation with single ontologies is often not sufficient.

In this paper, we propose an interactive volume rendering approach that supports advanced illumination when visualizing multimodal volumetric data sets.

To study the issues arising when multimodal imaging data sets are combined a model data set concerned with induced tumour haemorrhaging was studied.

Motivated by this example, one might also consider k-component linear combinations of Pareto (IV) densities as income models, allowing k to be greater than 2. Such models with positive coefficients are natural candidates for fitting multimodal income data sets which may well have a mixture genesis.

A correlation analysis was performed using the multimodal monitoring data set focusing on four physiological parameters that have been related to injury severity and outcome in traumatic brain injury (Enblad et al., 2001; Hutchinson et al., 2002; Butcher et al., 2007; Arieli et al., 2008; Belli et al., 2008; Diringer, 2008; Polderman, 2008; Stiver and Manley, 2008).

A study has been completed examining design issues concerning the interpretation of and dissemination of multimodal medical imaging data sets to diverse audiences.