Sentence examples for high-level recognition from inspiring English sources

She is also, self-evidently, female – something that would not be of interest were it not for the fact that Morgan is one of a growing number of talented British female sculptors who, as a group, are still not getting the high-level recognition awarded their male counterparts (among them Antony Gormley, Anish Kapoor, Damien Hirst, Mark Wallinger and Marc Quinn).

High-Level Recognition with Funding.

Additional experiments with fusion models based on cepstral and the proposed phoneme recognition features produced the highest scores overall, which indicates that the most suitable method for speech/non-speech segmentation is a combination of low-level acoustic features and high-level recognition features.

While leadership was apparent in the colorectal program, in part accounting for IKT activity, participants of this and other programs recommended other forms of leadership or leadership activities including high level recognition for IKT as an organizational priority described in strategic plans, incentives for IKT, and greater opportunities for interaction.

Although the area that will become the VWFA does not respond preferentially to letters at age 5, Saygin says it is likely that the region is involved in some kind of high-level object recognition before it gets taken over for word recognition as a child learns to read.

A possible mild improvement in LG's high-level shape recognition might be observed following training, when examining his possibly improved Hooper and Birmingham Object Recognition Battery overlapping figures test scores for letters, and possibly improvements in overcoming occlusion, yet the significance of these changes cannot be determined.

The school has also received high-level political recognition.

It therefore becomes a critical intermediate step in all high-level object recognition tasks, especially in computer assisted imagery.

Then low-level segmentation and high-level ventricle recognition using template matching are applied.

Existing surveillance systems rely on human observation of video streams for high-level classification and recognition.

Through the incorporation of two spatial domain methods, they argue that it is possible to move toward the idea that high-level concepts like recognition can be used to aid low-level operations like restoration.