A broad array of dictionary-based techniques have demonstrated utility, but comparison across techniques has been difficult because evaluation results often span only a limited range of conditions.
The early scenes don't bode well, as Kentridge sets in motion a busy array of projections: newsprint, dictionary entries, Rorschach inkblots, videos of a hand making brushstrokes, woodcuts of early-twentieth-century German and Austrian figures (including one of Berg).
These tax increases would raise the price of a huge array of items — winter coats, dictionaries, Ella Fitzgerald CDs, you name it — that leave no social costs in their wake.
There's a rich array in good dictionaries of definitions of loggerheads.
Finally, the coefficients of dictionary X are multiplied by dictionary D. Patch construction step: The result of the multiplication is a new array, Y1.
None of it is much help when confronted with an impatient server and a wine list the size of an unabridged dictionary, with a numbing array of unfamiliar names and prices ranging from $24 to $2,400.
An ideal dictionary would present an array of real-world examples, weighted somewhat to favor the professional over the amateur but also showing everyday usage alongside more literary examples drawn from books and movies and television and so on.
In the step of dictionary learning, the clean single-shot data are selected as trained data to learn the dictionary.
Given training data D, learning (or estimating) the dictionary A, the coefficient vectors Y, and the number of dictionary atoms k is called dictionary learning.
But this kind of dictionary is difficult to get.
We then address the generic optimization framework of dictionary learning.
