Sentence examples for normal dictionary from inspiring English sources

Given a collection of normal training examples, e.g., an image sequence or a collection of local spatio-temporal patches, we propose the sparse reconstruction cost (SRC) over the normal dictionary to measure the normalness of the testing sample.

For normal prior over dictionary atoms, the optimization of finding A in Equations (29), (30), and (31) is to solve (36) min A f (A ) = 1 2 ∥ D - A Y ∥ F 2 + α 2 trace (A T A ) Taking the derivative with respect to A and setting it to zero, we have (37) ∂ f (A ) ∂ A = A Y Y T - D Y T + α A = 0. We hence have (38) A = D Y ‡, where Y ‡ = Y T Y Y T + α I )-1.

The seizure detection process is performed for each incoming segment by correlation estimation with the binary codes of normal sequences in the dictionary.

While most of these tools are gathered through research and interviewing, there are still several things you need to help gather them: a mini recorder, reporter's notebooks (or normal ones), pencils, a dictionary and thesaurus, an AP Stylebook that dictates style guidelines for news writing, a phone, and a computer with Internet access (or the use of both).

To condense the over-completed normal bases into a compact dictionary, a novel dictionary selection method with group sparsity constraint is designed, which can be solved by standard convex optimization.

According to the Oxford English dictionary, the word "normal" is defined as "Conforming to a standard; usual, typical, or expected".

Upon the composition-pattern dictionary learned from normal behavior, a sparse reconstruction cost criterion is designed to detect anomalies that occur in video both globally and locally.

Other than having a keen ear for redundancies ("ISBN number," "OED dictionary"), he's a pretty normal boy and -- like Clements's Nora -- he's determined to stay that way.

Then, a dictionary is learned from the collected normal set.

A dictionary is built for these binary sequences of normal and seizure activities.

The scoring of the reversed words with the second dictionary is computed in the same way as in the normal matching case.