Sentence examples for structured projection from inspiring English sources

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The extension is based on an algebraic link between matrix-based and tensor-based subspace estimates via a Kronecker structured projection.

To this end, a connection between the real-valued matrix-based and the HOSVD-based subspace estimate via a similar Kronecker structured projection has been revealed.

The latter can be computed via a structured projection applied to the matrix-based subspace estimate which enforces the multi-dimensional structure in a computationally efficient fashion.

However, it can be shown that tracking the core tensor is indeed unnecessary, since the tensor-based subspace estimate can be computed from the matrix-based subspace estimate via a structured projection which does not involve the core tensor.

In this work, we show that after incorporating forward-backward-averaging, the real-valued HOSVDbased subspace estimate can be obtained by applying a structured projection to the real-valued matrix-based subspace estimate as well.

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To this end, we introduce the Tensor-based subspace Tracking via Kronecker structured projections (TeTraKron) frameworka.

In this paper, we have proposed the Tensor-based subspace Tracking via Kronecker structured projections (TeTraKron) framework.

This enables the tracking of the real-valued tensor-based subspace estimate via a similar Kronecker-structured projection applied to the real-valued matrix-based subspace estimate.

The 3D structure projection was predicted by I-TASSER (http://zhanglab.ccmb.med.umich.edu/I-TASSER/) under the job ID S281576.

During the second step, in order to eliminate the interference from the capsid and to reliably determine the azimuthal parameters, the authors used the capsid structure projection according to the particle orientation to mask the protein shell on the raw image by use of pixel subtraction, with the consideration of CTF correction and grayscale adjustment.

Each structure projection is colored according to their cluster.

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