Blar i Institutt for teknisk kybernetikk på emneord "Machine learning"
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Automated well log depth matching: Late fusion multimodal deep learning
(Peer reviewed; Journal article, 2022)Petrophysical interpretation and optimal correlation extraction of different measurements require accurate well log depth matching. We have developed a supervised multimodal machine learning alternative for the task of ... -
A combined informative and representative active learning approach for plankton taxa labeling
(Peer reviewed; Journal article, 2021)With an ever-increasing amount of image data, the manual labeling process has become the bottleneck in many machine learning applications. Plankton taxa labeling is especially a challenge due to its complex nature, and the ... -
Deep learning based keypoint rejection system for underwater visual ego-motion estimation
(Peer reviewed; Journal article, 2020)Most visual odometry (VO) and visual simultaneous localization and mapping (VSLAM) systems rely heavily on robust keypoint detection and matching. With regards to images taken in the underwater environment, phenomena like ... -
MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation
(Journal article; Peer reviewed, 2021)Image segmentation is one of the key components in systems performing computer vision recognition tasks. Various algorithms for image segmentation have been developed in the literature. Among them, more recently, deep ... -
Reliable Unmanned Autonomous Systems: Conceptual Framework for Warning Identification during Remote Operations
(Journal article, 2021)In the offshore industry, unmanned autonomous systems are expected to have a permanent role in future operations. During offshore operations, the unmanned autonomous system needs definite instructions on evaluating the ...