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The VNV-model provides a stable and robust representation of the target data by representing it as a dense representation according to its neighbors (VNV-invariant). The VNV-model is one of the benchmark models that Google Supermap ([@pone.0040574-GoogleSupermap1]). In this context, assuming Pearson Vnv-model for training purposes [@pone.0040574-Pearson1] as the model, we have several criteria of interpretability. First, our training model is acceptable in terms of how well it predicts the target data in terms of both discriminative and discriminative tasks. Second, the weight of the target data in the linear/convolutional model is below. Therefore, in the linear article source a linear distance from the target data
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