Sentence examples for applications to recognition from inspiring English sources

But because WITNESS shares many characteristics with signal detection applications to recognition memory (Banks, 1970), it is likely that what we can learn about filler siphoning using WITNESS is similar to what we would learn had we modified a different computational model of memory (for reviews of these types of models see Clark & Gronlund, 1996; Malmberg, 2008; Rotello & Chen, 2016).

That has not made it less significant, however, and today sees the latest and, arguably, a landmark moment, when Impress's application to secure recognition from the charter's Press Recognition Panel (PRP) is heard at a public meeting in London.

An adaptive FIR filtering approach to spectral estimation, which is referred to as amplitude and phase estimation of a sinusoid (APES) and has applications to radar target recognition, was proposed by Li and Stoica[40], and the adaptive FIR filtering approach to the Capon method was also discussed by Stoica and Moses[41].

Deep learning approaches have also been found to be suitable for big data analysis with successful applications to computer vision, pattern recognition, speech recognition, natural language processing, and recommendation systems.

Since its first application to speech recognition [18], HEQ has been mainly used in feature compensation.

We show an application to the recognition of angiotensin II, a biomarker of high blood pressure.

In "Evolutionary discriminant feature extraction with application to face recognition," Lu et al. present a technique that searches for subspaces to represent faces.

In this paper, we formulate several point process models for application to speech recognition, designed to operate on sparse detector-based representations of the speech signal.

The following sections will discuss the core requirements of such an architecture, challenges in developing and deploying the methods, and will conclude with an application to image recognition using deep learning.

Recently, a number of works related to AM-FM modeling of speech as well as its applications to speech analysis and recognition recently have been reported [5 13].

Indeed, the sign language or touchless technology applications to which our posture recognition method is dedicated assume that the hand user is, at least, slowly moving.