Sentence examples for recognition methodologies from inspiring English sources

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We present a comprehensive performance study of multiple appearance-based face recognition methodologies, on visible and thermal infrared imagery.

Given the diversity of the existing approaches, the main objective of this paper is to present a comprehensive, in-depth comparative analysis of the recent face recognition methodologies based on local descriptors.

Therefore, standard pattern recognition methodologies, which involve feature extraction and classification, are used to solve the task [7].

We outlined in Section 5 that novel opportunistic activity recognition methodologies (e.g., those explored in the centralized opportunity framework) may also be included in the logic of Titan to allow it to autonomously exploit dynamically discovered sensing services, in addition to the current dynamic use of processing services.

Though we evaluated only GEI-based methods in order to compare gait recognition methodologies, there are many gait features that can be used for input images, such as DeepGait [41], CGI (chrono-gait image) [42], and FDF (frequency-domain feature) [43].

Similar(55)

Sensor technology demands to design a sensing system having higher sensitivity, sufficient selectivity, fast response time and efficient reproducibility with simple operating and recognition methodology.

For that reason this paper proposes an intelligent feature recognition methodology (IFRM) to develop a feature recognition system which has the ability to communicate with various CAD/CAM systems.

The main contribution of the research has been the development of an attributed mid-surface adjacency graph to represent the mid-surface topology and geometry, and a feature recognition methodology for moulding features.

The optical chemosensor technology demands to design a single, preconcentrator based sensing system having higher sensitivity, sufficient selectivity and efficient removal of metal ions with simple operating and recognition methodology.

Chemo-sensor technology demands to design a single, preconcentrator based sensing system having higher sensitivity, sufficient selectivity and efficient removal of metal ions with simple operating and recognition methodology.

The recognition methodology relies on extracting shape descriptors from contours of ligature images.

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