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In active learning for Automatic Speech Recognition (ASR), a portion of data is automatically selected for manual transcription. The objective is to improve ASR performance with retrained acoustic models. The standard approaches are based on confidence of individual sentences. In this study, we look into an alternative view on transcript label quality, in which Gaussian Supervector Distance (GSD)...
Localization of a resected tumor lodge after a breast cancer surgery is a challenging task for the radiotherapy planning. Currently, the problem is handled by creating radiation dose margins, which take into account the lack of information about lodge localization. We propose an alternative approach based on the image registration techniques, that aims to align computed tomography 3D images before...
In the paper a new metric for comparing image quality assessment databases is presented. Its purpose is to show the real coverage of the database in Spatial information vs. Colorfulness space. Currently used metrics are vulnerable to databases having large uncovered areas within convex hull. Proposed method takes into account existing metrics but provides additional fill rate parameter, which define...
Segmentation task plays an important role in image processing. In this paper, we attempt to extract information from images using texture analysis. Moreover, we propose characterization of pixels in images to define the similarity relation between them. These are based on textural information and findings of shortest paths in the graph representation of images. To reflect effectiveness of our method,...
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