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In this article, we have proposed a four-step approach to generate highly discriminative, informative, and privacy-protective binary representations based on a fixed-bit-allocation principle.
In this paper, we propose a novel computational framework enabling the integration of sensory-motor time-series data and the self-organization of multimodal fused representations based on a deep learning approach.
Note, we realize that the conformational ensemble can be projected onto low dimensional representations based on a variety of methods.
Early models of intestinal absorption were often plagued by the use of oversimplified biosystem representations, based on a hydrophobic slab, which is a single bilayer or membrane, whereas the data used for the model calibration were measured in an organism.
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With the Mmogo-method®, the participants would use clay, beads, and sticks to construct their visual representations based on an unstructured request: Please make a visual representation with the materials provided that can tell us more about how you experience loneliness.
For a scale-space representation based on a multi-dimensional scale parameter, one may also consider a weaker requirement of rotational invariance at the level of a family of kernels, for example regarding a set of elongated kernels with different orientations in image space.
For this reason, we have considered instead a more gradual representation, based on a soft assignment approach.
Step 1: Generate an AMA representation based on a metric tensor (mathbb {M}) with number of vertices N v =γ|S| for γ≥1.
In this work we propose a genetic algorithm to evolve a speech representation, based on a non-orthogonal wavelet decomposition, for phoneme classification.
An autoencoder is used along with convolutional and pooling layers to deduce the reduced feature representation based on a set of images taken by the agent.
This representation, based on a classical Fourier Transform, introduces a time localization concept by using a tapering window function of short duration going along the signal, and adding a time dimension.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com