Sentence examples for reducing recognition from inspiring English sources

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.

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

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.

The number of dots displayed for a given shape pattern was designed to provide minimal cues for recognition of the object, thus reducing recognition into a range below 80% so that the effect of timing differentials could be examined.

The authors propose that PCBMA hydrogels were superior to PHEMA because they could resist protein adsorption to a greater extent, thereby reducing recognition by innate effector cells, namely, macrophages [ 344].

These findings provide strong biochemical evidence that E144R destabilizes PIN at both AUG and UUG start codons with a relatively stronger effect on the near-cognate triplet, which coincides with the in vivo effects of E144R of reducing recognition of the SUI1 AUG and GCN4 uAUG-1 start codons, and of suppressing UUG initiation on his4-301 mRNA.

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.

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.

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.

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.