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Segmentation suggests the early allocation of defined sets of precursor cells and is therefore presumed to allow a specific identity for each successive segment to emerge from a common ground plan.
Cao and Fei-Fei [14] used Latent Dirichlet Allocation (LDA) topic models to perform region level segmentation and classification, forcing the pixels within a homogeneous region to share the same latent topic.
The segmentation procedure is significantly faster than other similar approaches like TAV, thanks to allocation of more nodes into the boundary detection process and to their more optimal distribution.
More accurately our model shows the following desired features: The segmentation procedure is significantly faster than other similar approaches like TAV, thanks to allocation of more nodes into the boundary detection process and to their more optimal distribution.
Customer segmentation.
Segmentation problems.
Segmentation evaluation pipelines.
It's segmentation.
The ensuing segmentation has reshaped politics.
But year after year, the segmentation builds.
Resource allocation.
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