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This is achieved by constructing a dictionary for speech data based on bag-of-words concept.
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In each layer, we construct a dictionary of filters by combining the filters from the lower layer, and iteratively optimize the image representation with a joint discriminative-generative formulation, i.e. minimization of empirical classification error plus regularization of analysis image generation over training images.
Because words achieve their usefulness by reference to things, however, it is difficult to construct a dictionary without considerable attention to the objects and abstractions designated.
Waveform data from the relocatable earthquakes were used to construct a dictionary of template events.
Figure 2 shows the process for constructing a parallel dictionary.
The left side of Figure 3 shows the process for constructing a parallel dictionary.
It is not possible to construct a complete dictionary, as new names are generated every day.
To construct a parallel dictionary, some pairs of parallel utterances are required, with each pair consisting of the same text.
It is in this regard we construct a custom drug dictionary with only minimal entries that would reflect the vocabulary of an average user.
It has been shown that the CIR can be represented as a 1-block sparse signal by using a dictionary constructed by concatenating subspaces of CFO values taken from a search space.
By combining articulation-disordered vowels and well-ordered consonants, we constructed an individuality-preserving dictionary.
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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