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This work proposes an approach that finds efficient representations for training and classification of different mine like objects (MLOs) in underwater imagery, e.g. side scan sonar and synthetic aperture sonar (SAS). The focus is on the design and selection of a compact, optimal and a non linear snbspace, a dictionary, based on the gradient and curvature models in 2D images. Here, the traditional...
The resolution of mass spectrometers is often insufficient to conclusively identify all peaks that may be present in recorded spectra. Here, we present new methods to extract consistent molecular and bulk level chemical information by constrained fitting of series of complex organic mass spectra with multiple overlapping peaks. Possible individual peaks in a group of overlapping peaks are identified...
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