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The hierarchical features were extracted from remote-sensing image.
Then, compact binary codes are generated from hierarchical features for efficient similarity search.
To this end, deep learning methods have been proposed to extract hierarchical features against extreme variability of appearance.
Kim, J., Calhoun, V.D., Shim, E. & Lee, J.H. Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia.
The 1D FE formulation exploited has hierarchical features, that is, 3D stress/strain fields can be easily detected by increasing the order of the 1D model used.
The 1D FE formulation used has hierarchical features, that is, 3D stress/strain fields can be detected by increasing the order of the 1D model used.
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To cope with the modeling complexity, machine components and space limitation are modeled by a hierarchical, feature-based modeling method the functional feature tree modeling method.
Through online fine-tuning, both the hierarchical feature extractor and the classifier can be adapted to the appearance change of the target for effective online tracking.
In this paper, we propose multi-layer non-negative matrix factorization (NMF) network for classification task, which provides intuitively understandable hierarchical feature learning process.
The above results suggest that the 3D hierarchical feature with large surface-to-volume ratio is a good candidate for ethanol detection.
The contribution of our model is that hierarchical feature evolution and nonlinear feature mapping are jointly optimized in a unified and perceptual-aware deep network (DNCSAE), which well resembles several important visual properties, i.e., hierarchy, sparsity, and non-negativity.
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