Sentence examples for boundary detection problem in from inspiring English sources

Different from traditional methods, the boundary detection problem in this paper was formulated as an optimization process that sought the boundary points to minimize a cost function.

The boundary detection problem in this paper was regarded as an optimization process that sought the boundary points to minimize a cost function.

We first discuss how to initiate defects boundaries, then how to map the boundary detection problem into a Hopfield neural network, and then a novel cost function for wood defects boundaries detection is described.

We will investigate methods for identifying and classifying period characters in these text types, as a sub task of the so-called sentence boundary detection problem.

This method is commonly used in edge detection problems.

Indeed, an area preserving algorithm is used to compensate the problem of incorrect iris boundary detection in presence of noise.

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

A Study in Machine Learning from Imbalanced Data for Sentence Boundary Detection in Speech.

Using Conditional Random Fields For Sentence Boundary Detection in Speech.

The BrM benefited from the accuracy of the boundary detection in Section 2.1.2.

In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision.