Sentence examples for reduced recognition from inspiring English sources

As shown in Fig. 1, the selected bands contain less speaker-specific information, which has thus led to reduced recognition performance degradation for online speaker recognition systems.

Mutations designed to disrupt the pairing of a stem and loop structure, in which the uAUG codon is localized, reduced recognition of this codon, while complementary mutation restored a great extent of the recognition.

Both the schizophrenia group and the degraded image control group showed reduced overall recognition accuracy and reduced recognition accuracy for fearful and sad facial stimuli compared with the intact-image control group.

Furthermore, studies showed that LVDr YMDD-mutant HIV displayed reduced recognition of ETV-TP [36].

However, despite the increased familiarity with the face stimuli, adaptation to non-matching imagined faces still reduced recognition performance, suggesting that the adaptation effect of non-matching imagined faces was comparable to that of real faces.

A two-way (within- vs. cross-modal, unrotated vs. rotated) repeated-measures analysis of variance RM-ANOVAA) showed that object rotation significantly reduced recognition accuracy (F1,23 = 30.04, p = <.001) and that overall within-modal recognition accuracy was marginally better than overall cross-modal recognition (F1,23 = 4.23, p = .051).051

For half of the landscapes, the third segment was presented between encoding and recognition tasks to induce associative interference by reducing recognition discriminability.

Cumulative evidence now clarifies that a well-designed multimodal system that fuses two or more information sources can be an effective means of reducing recognition uncertainty.

There is growing interest in soft biometrics as a means of improving automated face recognition since they hold the promise of significantly reducing recognition errors, in part by ruling out illogical choices.

In the large vocabulary-based KPOW task, the HEQ-MA with mean and variance adaptation technique reduces recognition errors by 43.04%, 38.77%, 15.05%, 41.39%, and 8.56% over the baseline recognizer, CMN, CMVN, MLLR, and HEQ-FC, respectively.

We present an intelligent tutoring system for algebra equation solving via pen-based input that is able to use context to decrease recognition errors by 18% and to reduce recognition error recovery interactions to occur on one out of every four problems.