Synthetic Notch (synNotch) receptors induce transcriptional activation in response to recognition of user-specified antigens.
Dynamic operations mapping, involved in application of folding technique, allows recognition of user defined parameters, such as number of coefficients and coefficient length on implemented array size.
For example, in [2]-[4], speaker-independent acoustic models were adapted to speaker-dependent and speaker-adapted models, both providing better recognition of user-specific vocalizations.
Due to their very reduced intelligibility, some authors have addressed the problem of automatic recognition of disabled users by carrying out in-depth studies of the most salient features of some types of atypical voices.
As my friend Alex Williams puts it, viral media sites are the new Star Search and recognition of top users, be it through financial compensation and/or status, could be a key driver in making these sites viable.
The main advantage of this approach is that it allows rapid and cost-effective development by taking the already built speech recognition engine and its modules, and utilizing existing resources for standard speech in different languages for the recognition of the users' atypical voices.
Signals are either selected or rejected at the receiver by recognition of a user-specific signature waveform, which is constructed from an assigned spreading code.
In the first process, a number of features are extracted for the recognition of a user.
Ambient intelligence services bound to the recognition of a user, as well as social applications, such as automatic photo tagging on social networks, can especially exploit face recognition.
