Sentence examples for model boundary detection from inspiring English sources

In this model, boundary detection occurs early after the presentation of an image and in parallel across the visual scene (Bravo & Blake, 1990; Cavanagh, Arguin, & Treisman, 1990), while region growing occurs later (Fig.  14d).

First, we construct a comparatively simple, memory-efficient model by adding boundary detection to the segnet encoder-decoder architecture.

Zhu and Yan [10] attempted to combine Hopfield neural network with active contour model for brain image boundary detection.

DOI: http://dx.doi.org/10.7554/eLife.06213.005 10.7554/eLiFigure13.006 Figure 2 figure supplement 1. TIMIT corpus and models used for syllable boundary detection.

In this paper, a new neural model for bio-inspired processing of color images, called dPREEN (double recurrent Perceptual boundaRy dEtection Neural) model, is presented.

Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech.

We compared the performance of the theta network to that of two alternative models also susceptible to predict syllable boundaries: a simple linear-nonlinear acoustic boundary detector and Mermelstein algorithm, a state-of-the-art model which, unlike the model developed here, only permits 'off-line' syllable boundary detection (Mermelstein, 1975).

This feature is attributed to the observed higher accuracy of boundary detection by the CRF model.

to back up many of the comparisons across conditions, syllable boundary detection (is the presented model's performance significantly better than the others?), and decoding of simple stimuli (again, is performance significantly better for the intact model?).

Second, we also include boundary detection in fcn-type models and set up a high-end classifier ensemble.

In our model such interactions were not implemented and thus boundary detection is not possible.