Sentence examples for representation capabilities from inspiring English sources

It has fingerprint support, bond perception, atom typing, image representation capabilities, stereochemistry recognition, and forcefields management, among other features.

The representation capabilities and the design choices of the implemented system are discussed and a variety of examples are given to demonstrate the use of the system.

The compelling feature of the approach is that it combines ontological and temporal knowledge representation formalisms to provide powerful representation capabilities for activity modelling.

The ZM descriptor consists of good global image representation capabilities besides being invariant to image rotation and noise, while the LBP/LTP descriptors capture the innate details within some local parts of face image and are insensitive to illumination variations.

In general, the comparison shows that each approach has its strengths and weaknesses with respect to representation capabilities for particular applications, which leads to the conclusion that in the future the two approaches may complement one another well.

This function is then approximated by resorting to piecewise-affine simplicial functions, which can be implemented on a circuit by extending the representation capabilities of a previously proposed architecture to evaluate the control action.

Our method utilizes representation capability of CNN to model the highly variable appearance of digits.

The wavelet transform has been widely used in signal de-noising due to its extraordinary time-frequency representation capability.

The technology which provides the efficient representation capability for the underlying performance model is the multi-terminal binary decision diagram (MTBDD -based PRISMTBDD -basedtic model checker.

Due to the powerful feature extraction and representation capability of deep learning, the deep learning based region proposal generation and object detection integrated framework has greatly promoted the performance of multi-class geospatial object detection for HSR remote sensing imagery.

Non-uniform rational B-spline (NURBS) has been widely used as an effective shape parameterization technique for structural optimization due to its compact and powerful shape representation capability and its popularity among CAD systems.