Sentence examples for data representation from from inspiring English sources

This work proposes a standard software architecture and methodology for implementing a sensorless PMCS which separates data representation from its algorithmic processing.

Typical enterprise application integration solutions propose dedicated tools which allow the coupling between engineering software by mapping data representation from one tool to another.

More specifically, it aids in automatically extracting complex data representations from large volumes of unsupervised data.

This demonstrates the advantage of Deep Learning as an effective approach for extracting data representations from different varieties of data types.

Thus, feature engineering, which focuses on constructing features and data representations from raw data [1], is an important element of machine learning.

An effect solution to address the data integration problem is to learn good data representations from each individual data source and then to integrate the learned features at different levels [13].

The ability of Deep Learning to extract high-level, complex abstractions and data representations from large volumes of data, especially unsupervised data, makes it attractive as a valuable tool for Big Data Analtyics.

In order to evaluate the performance of DKLLE on facial expression recognition, we adopt the LBP features as facial representations and then employ DKLLE to produce the low-dimensional discriminant embedded data representations from the extracted LBP features with striking performance improvement on facial expression recognition tasks.

The evaluation is indirect because the calibrated measure in the comparison is not necessarily PD and not a one-to-one comparison of the same metric such as PD derived from two data representation (that is, from calibrated and raw data).

The scheme is based on a one-step predictor corrector methodology in space time and uses three main building blocks: First, a high order piecewise polynomial WENO reconstruction, to obtain a high order data representation in space from the known cell averages of the underlying finite volume scheme.

Note that the clinical data representation maybe different from the research representation and that there may be more than one research representation, for example: ▪ Clinical free text → Research CDE ▪ Clinical CDE → Research CDE In CPCTR, many groups re-engineered the clinical system/workflow to make it consistent with CPCTR CDEs.