Sentence examples for false recognition from inspiring English sources

Regardless though, studies of false recognition make one thing clear: our memories aren't always as accurate as we'd like to believe.

Figure 9 False recognition probability versus SNR.

Correct and false recognition were similar across conditions.

They then took three memory tests designed to elicit false recognition of presented items.

The correct recognition accuracy is 91% with a false recognition rate of 15%.

Multi-resolution architecture allows us to reduce the false recognition rate from 15 to 4.7%.

The proposed algorithm is evaluated through confusion matrix and false recognition probability.

Zeelenberg, Plomp, and Raaijmakers (2003) failed to observe this false recognition effect when list word recognition was at chance.

The performance metrics consisted of the mean classification rate, the false accept rate, and the false recognition rate (FRR).

The curves depict the false recognition probabilities (FRP) of the code length and synchronization position estimations on different SNRs.

The performance of the proposed algorithm is examined based on the confusion matrix and false recognition probability (FRP).