Sentence examples for more reliable features from inspiring English sources

To classify vehicles more accurately at night, more reliable features and a thermal camera with a higher resolution are necessary.

Even though thermal images obtained from FLIR ONE at night provide more reliable features for vehicle classification, we cannot distinguish vehicles using thermal images obtained at night because the resolution is insufficient and less identical features.

Even though thermal images at night provide more reliable features for vehicle classification, the accuracy of the classifier using thermal images is lower than that of using visual images in the daytime because the resolution is insufficient and less identical features.

But for the template updating, we only apply the second criterion with a stricter threshold, i.e., ( left|right|{beta}_{G_p}Big|{Big|}_1/Big|left|beta right|{Big|}_1>0.8 ), which provides more reliable features and then prevents the template from identity drift.

10, 11 Although the involvement of skeletal muscle is a more reliable feature for confirming the presence of minimal ETE than involvement of the perithyroid soft tissue, skeletal muscle is not uniformly distributed throughout the thyroid gland and can even be mixed with thyroid follicles in the isthmus.

It's better to have more reliable but less features than more features that are breaking every other day.

The multiple feature representation, such as detailed in [34], can offer more reliable characterization of features, and therefore cryptosystem based on multiple-palmprint representation can be considered for the extension of this work.

Though experiments show that MRH feature is more reliable then other local features, such as LBP, GJD, and SIFT, recent research discovers some more robust features, for example, Learning-based Descriptors (LE) [54].

The results presented in Table 1 show that it is more reliable to classify features extracted by the HICA than the raw spectrogram input.

In this context, the literature of sociological sciences gives us a set of well-established assumptions and constraints to create more reliable and plausible features and detection algorithms.

On account of the compression of the diffraction data into one dimension in the powder pattern, it is frequently necessary, and in any case always of value, to supplement refinement against PXRD data with independent information that can establish the correctness of the structure or provide a more reliable indication of features that cannot be distinguished from the PXRD data alone.