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Furthermore, the co-occurring OOV concepts can be easily represented in the learnt concept embedding space.
It utilizes the sparse coefficients of affine subspace to construct a similarity graph and preserves this sparse similarity in embedding space.
By means of pattern aggregation and probabilistic topic models, our Siamese architecture captures contextualized semantics from the co-occurring descriptive terms via unsupervised learning, which leads to a concept embedding space of the terms in context.
In this paper the application of embedding space and fractal dimension estimation to monitor the condition of a system with clearance is considered by examining the effect on the correlation dimension of variations of the gap clearance in a bearing system.
Let us denote by g 2 ̂ the continuation of g2 to the embedding space C m × m × m × k.
This suggests that an embedding space larger than M=216 should be used to increase the robustness in a realistic scenario including compression after the collusion attack.
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For the embedded space in particular, Eclipse offers tools to access and manage remote target hardware.
It outlines why the understanding middleware is important and identifies the common types of middleware in the embedded space.
The LLE algorithm analyzes the cross-sections (PCS) using their geometric properties to build a global manifold in an embedded space.
Embedded space system development has several characteristics where it differs from software development.
The major computational saving is thus attributed to the lower dimensionality of the embedded space.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com