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This paper proposes a multi-level feature learning framework for human action recognition using a single body-worn inertial sensor.

Fracture morphology displayed uneven cleavage configuration with multi-level feature, and the cleavage planes parallels (001), (011) and (111) crystal plane for [001], [011] and [111] orientation, respectively.

According to the multi-level feature of the fractal geometry, fractal fracture network has its advantage on classifying the fractures into different levels.

This parameter relates to the multi-level feature of the fractal branches: in each iteration, the fractal fractures propagate from the original nodes following the given generating rules to construct part of the network.

Comparing with other simulation models, the fractal fracture could not only maintain the bifurcation of the fracture geometry but also represent the multi-level feature of the complex fracture networks according to its fractal characteristics.

But as we have mentioned before, presetting too much generating rules is not necessary since what we want is a fractal fracture geometry with multi-level feature and following the extending tendency of the fracture network.

Considering the complex geometry, width of the branches of the fracture network is smaller than a single bi-wing fracture, the proppant might not be able to transport to the tip of the total fracture network (Xu et al. 2009), and this leads to a multi-level feature of the fracture networks which has a significant influence on the well performance.

Our results indicate that the NHR involves a continuum of layered defense processes, including basic incompatibility, structural and chemical strengthening of the cell wall, posthaustorial hypersensitive response and induction of several defense-related genes, demonstrating the multi-levels feature of NHR.

These multi-level features allow not only characterization of cancer morphology, but also extraction of structural and interpretable information within the histopathological images.

These multi-level features are combined together to get a more robust face feature.

A multi-level compound feature representation and recognition approach are presented.

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