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Therefore, other hybrid methods have to be sought.
Hybrid methods included combined region and edge techniques.
Nevertheless, hybrid methods tend to are the most balanced ones.
Hybrid methods can be divided into several categories.
For an overview of connectionist sentence processing and some hybrid methods (see Crocker 2010).
As can be seen from the summary of hybrid methods in Table3, the main focus of the development of hybrid methods has been on videos.
Further, we obtain strong convergence theorems by using the hybrid methods.
In addition, hybrid methods such as [3] consider video/movie segmentation using scene detection and classification.
Such composites of NR-P and NR-B-based methods are called hybrid methods.
There are hybrid methods that attempt to take advantage of both SSS and unit selection systems.
However, existing hybrid methods still require development of a high-quality unit selection system.
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