G06V 10/72

Definition

(Für diese Definition ist die deutsche Übersetzung noch nicht abgeschlossen)

Techniques that handle data quality issues such as data accuracy (obtaining the correct data entries), data completeness and data consistency (data written to a database must be valid according to all defined rules) in the context of image or video recognition or understanding.

Examples of techniques classified here include:

• data cleaning, e.g. by filling in missing values, smoothing noisy data, identifying or removing outliers, resolving inconsistencies, etc.;
• compensating for missing data by supplying alternative default values;
• eliminating unreliable samples/outliers;
• data reduction, i.e. building a reduced representation of a dataset through a reduction technique (e.g. PCA) or a numerosity reduction technique such as data aggregation;
• data normalisation, so that all attributes have an equal weight, e.g. min-max normalisation, z-scores, normalisation by decimal scaling, etc.

Examples

Selection of vectors in a multi-dimensional space by considering the median of their subsets and discarding those above a certain distance range from the median.

Querverweise

Informative Querverweise