Sentence examples for dataset features from inspiring English sources

Dataset features can be potentially expanded further, i.e., resorting to rich set of features.

The number of generated rules varies depending on several factors: the size of the dataset, features, algorithms etc.

Compared to the controlled databases, this dataset features a larger variety of illumination conditions, backgrounds and face sizes.

The new dataset features in particular large spatial and temporal resolution and high accuracy for a comprehensive set of observables and a range of different conditions.

This dataset features two key properties: high spatial resolution which approaches the 60 micron optical limit of the measurement system, and a wavelet oversampling methodology which significantly reduces the influence of noise.

The proposed architecture achieves remarkable speedup compared to both serial and multithreaded software CAST implementations ranging from approx. 100x 5000x, depending on the system configuration and the dataset features, such as low-complexity content and sequence length distribution.

Each detector is composed of 590 intervals, where each interval corresponds to a specific feature from the dataset feature vectors.

However, the heterogeneity and complexity of the geospatial processes, which can potentially modify part or the complete content of datasets, make evident the necessity for describing geospatial provenance at dataset, feature and attribute levels.

The density estimation framework is demonstrated by various experiments with a diffusion MR dataset featuring high angular resolution, uncovering the fiber orientation field in the cerebral white matter of the living human brain.

It provides a front end to multiple OpenTox services, currently integrating IDEA ontology, dataset, feature and model services with TUM descriptor calculation and model services and NTUA algorithm services.

Table 1 List of non-verbal features extracted from the ELEA dataset Feature ID Features Description 1 4 Speaking status Speech segments of the target person 5 8   Interruptions 9 18 Prosodic speech features Pitch 19 28   Energy 29 32 Visual activity Head motion 33 37   Body activity 38 59 wMEI Motion template-based visual activity features 60 73 Visual focus of attention Visual attention features.