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Nevertheless, let's assume that the data on development gathered from local plans points to another coalition volte-face.
Most approaches assume that the data is outsourced to a single SP. Others assume that the data is outsourced to multiple, non-colluding SPs.
Traditional subspace methods like PCA and ICA assume that the data is coming from a single manifold.
We assume that the data input to these applications is an unorganized point cloud or mesh of vertices.
Assume that the data streams for every user is equal, i.e., l 1 = ⋯ = l K = ll.
We assume that the data contained in the headers are transmitted without error.
We assume that the data rate is selected based on the predetermined threshold value [1 3].
Without loss of generality, we will assume that the data are generated by a stationary process, and, therefore, (mu =0).
Now, assume that the data information is also to be transmitted to a second layer of users with higher SNR.
Assume that the data symbols of all the M UEs within the cluster are shared among the N coordinated TNs.
When the advantage of the adversary is negligible, we can assume that the data stored in the Cloud remains private.
More suggestions(16)
assume that the figures
imagine that the data
assume that the datasets
believe that the data
assume that the evidence
expect that the data
assume that the estimate
suggest that the data
assume that the collected
told that the data
assume that the reporting
assume that the database
assume that the reported
assume that the dataset
assumes that the data
assume that the hypotheses
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com