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Algorithm for input dimension reduction is first formulated and then applied to real ECG data for recognition of beat patterns.
In cases where no city plans or field survey data are available, a viable option is to use remotely-sensed data for recognition of urban features.
Few studies have described the use of hyperspectral data for recognition and classification of landslides based on Earth surface characteristics since most of the hyperspectral satellite sensors are still under development (Scaioni et al., 2014).
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In some example embodiments, the client machine 110 or 112 accesses the server 118 to retrieve facial recognition data for facial recognition on the client machine 110 or 112.
On the Use of Artificial Conversation Data for Speaker Recognition in Cars.
The simplified crack model may also be used to generate training data for pattern recognition approaches to health monitoring.
After dimensionality reduction with the SDMP, the least squares support vector machine (LS-SVM) is utilized to classify the different low-dimensional feature data for fault recognition.
Udown was used for driving the feedback loop to record the height (topography) image, and Uup provided the data for the recognition image.
Finally the paper discusses on the current open problems and highlights the future directions of research in the field of processing of RGB-D data for gesture recognition.
Many clustering techniques such as principal component analysis and hierarchical cluster analysis have been employed to analyze chemical data for pattern recognition.
Stratigraphic and sedimentologic characteristics of the depositional facies are integrated with ichnological data for the recognition of four facies associations (FA1 to FA4).
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