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Using a feature detection algorithm that robustly identifies enriched regions, we captured a progression of differentiated states when cells were cultured either at non-permissive, low density (LD) or permissive, high density (HD) in the presence or absence of DMI adipogenic cocktail.
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In [31] channels are examined sequentially, and every channel whose energy in the coarse stage does not exceed a pre-defined threshold is immediately examined in detail using a cyclostationary feature detection sensing technique.
Actin filament bundle width and length were quantitated using a linear-feature detection algorithm developed in collaboration with the CSIRO and previously described [ 42].
Using a linear-feature detection algorithm [ 42] we quantitated various cytoskeletal parameters, including actin filament bundle width and length (Fig. 2e g).
For the continuous and rapid spectrum sensing, SCA-MAC uses a cyclostationery feature detection (Cabric et al. 2004; Kim and Shin 2008).
In order to achieve head-pose estimation we use a feature vector based on skin detection to estimate the orientation of the head, which is discretised into 8 different orientations, relative to the camera.
The raw MS data (wiff.scan files) were converted to mzXML files using ProteoWizard MSConvert and processed using XCMS for feature detection, retention time correction and alignment.
The approach combines several image quality metrics and face-specific metrics using facial feature detection.
You will use the feature detection and matching component to combine a series of photographs into a 360 degree panorama.
In their proposed model, time series is estimated using the cyclostationary feature detection and then the spectrum is predicted by applying that series to Elman recurrent NN.
In [14], filter bank sensing is performed using data-aided feature detection achieving results in extremely low signal-to-noise ratio (SNR); however, the algorithm required knowledge for specific features of the PS signal.
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