Sentence examples for more general representation from inspiring English sources

A more general representation of temporal modulations is given by this feature.

First, we present a polynomial discrete fuzzy model that is more general representation of the well-known discrete Takagi-Sugeno (T-S) fuzzy model.

However, our work is focused on automatic information extraction from online social streams and on the creation of a more general representation.

Rather than focus on the individual features of the users or the subjects, SNAD aims for a more general representation to model the social behavior in the system by constructing and measuring the similarity of users' access networks.

These motion models allow warping (transforming) a quadrilateral of any size and shape from one reference frame to a block (square) of the current frame, thus obtaining a more general representation of camera and object motions, as described next.

We believe that disregarding the parameters would provide a more general representation of the files, which is expected to be more effective for purposes of classification into benign and malicious files.

We also find that self-comparisons with more general representations of leaders (self-to-prototype comparisons in affiliation) relate to MTL.

In other passages Nietzsche seems to be more in line with a by and large Kantian view according to which the intellect provides some rules of transformation of what is given by the senses as individual and discrete data into more general representations.

For more generalized case, we can adopt the more general series representation, which applies for arbitrary m I i [30].

Instead of using the medial axis as a representation of shape, we consider shapes that can be reconstructed from a different, more general medial representation.

As a new approach to the important problem of noise reduction the concept of auto-synchronized wavelet transforms is introduced which allows wavelet transforms (and more general time frequency representations) to be averaged in the time domain without losing the time-resolved information in the signals.