Sentence examples for generalized identification from inspiring English sources

More likely, the popular success of "Memento" has to do with a much vaguer, more generalized identification with the hazy mental landscape of amnesia, a nagging sense that, even in our relatively untraumatized middle-class lives, something is missing and we can't quite recall what it is.

Last Wednesday's event at Merkin Concert Hall, called "Old Testament in the New World" and put on by the Copland House, largely avoided the murky and generalized identification, its six composers referring their pieces back to Jewish cultural history rather than Jewishness itself.

Significance-aware (SA) filtering is a generalized system identification concept which exploits prior knowledge about the physical system to be identified by decomposing the adaptive model in a divide-and-conquer manner into beneficially interacting subsystems.

Two generalized types of identification are achievable: putative identification and definitive identification.

In this study, a generalized procedure in identification and control of a class of time-varying-delayed nonlinear dynamic systems is developed.

Nevertheless, there is a need for a fast, reproducible and generalized method for identification of EV that takes into account not only their size but also their cell of origin.

This paper presents a generalized predictive control (GPC) strategy with closed-loop model identification for burn-through point (BTP) control in the sintering process.

Combining the techniques of the working set identification and generalized gradient projection, we present a new generalized gradient projection algorithm for minimax optimization problems with inequality constraints.

However, application of the generalized inverse in structural identification and model updating exercises is not completely successful, and it is found that its occasional failure may be due to a lack of understanding of the fundamental principals of the generalized inverse.

Bhardwaj et al. [12] presented three scenarios for speaker identification, exploiting the generalized fuzzy model (GFM).

However, there are situations in which evidence or information may be minimally modified (such as by the use of pseudonyms) or generalized, in order to avoid identification of the source and to protect confidentiality and limit exposure of people to risks.