Sentence examples for recognition context from inspiring English sources

In intra-pulse modulation recognition context, more interest has been focused on the study of the feature based (FB) algorithms [2 5].

The main target of this work is to contrast several hypotheses related to the efficiency in the biometric recognition context and to do so a whole biometric recognition process was designed.

Positioning of the AUG codon at the end of stem-loop may provide a more productive recognition context during cap-independent initiation of translation, when the ribosome binds directly to internal entry site without unwinding and scanning upstream regions of mRNA molecule.

This indicates a worker's response to fertility information depends on the recognition context: eggs or adults.

These hypotheses were originally developed for mate and kin recognition contexts (Hebets & Papaj 2005) but they are similarly applicable to IG predator recognition and anti-IG predator responses.

Experts outlined a developmental approach in curriculum design, which would potentially encourage practice, reinforcement of learning, and recognition of context of care.

Our previous work has described a knowledge driven method for automatically generating POMDP activity recognition and context sensitive prompting systems for complex tasks.

The concept of realisation as developed in SFL has demonstrated the reach and efficacy of language events, thus justifying the recognition of context as a language external stratum of the linguistic theory.

Individuals with schizophrenia show deficits both in facial emotion recognition and context processing (Kohler, C.G., Walker, J.B., Martin, E.A., Healey, K.M., Moberg, P.J., 2010. Facial emotion perception in schizophrenia: a meta-analytic review. Schizophr. Bull. 36, 1009 1019).

The mRNA traverses the entire mRNA cleft and makes connections to the regulatory domain of eIF2α, eIF1A, and ribosomal elements that allow recognition of context nucleotides surrounding the AUG codon.

Some aspects of this problem are commonly encountered in both spotting and large vocabulary continuous speech recognition (LVCSR) contexts, such as fast likelihood computation [8, 9] or fast acoustic matching [10, 11].