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Exact(30)
The final representation of data constructed by the deep learning algorithm (output of the final layer) provides useful information from the data which can be used as features in building classifiers, or even can be used for data indexing and other applications which are more efficient when using abstract representations of data rather than high dimensional sensory data.
Indexes based on these autoregressive models can be used as features by which the structural integrity can be assessed.
Corners are rotation invariant, and they can be used as features for recognition.
For instance, conference and researcher locations can be used as features when budget restrictions apply.
The following example explains the meaning of such relationships and how they can be used as features to inform the machine classifier.
Usually, the inputs to the hidden units of the BN layer will be used as features for the conventional HMM-based speech recognizer.
Similar(30)
These final representations can be used as feature in applications of face recognition.
Free energy (or Gibbs free energy) can be used as feature for miRNA target prediction.
The amplitudes of the fault voltage signals are used as features to train the SVR.
Initial six and three levels decomposition of the SSA and FDCT are used as features of PQD respectively.
Over 30 variables were used as features of the tissue engineering strategies.
More suggestions(16)
be used as signposts
be regarded as features
be used as fins
be used as decorations
be used as therapists
be used as slaves
be employed as features
be treated as features
be used as bases
be used as suits
be summarised as features
be defined as features
be used as pawns
be viewed as features
be used as desktops
be used as sashimi
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com