Essays about: "semantic distances"
Found 5 essays containing the words semantic distances.
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1. Deep Learning Semantic Segmentation of 3D Point Cloud Data from a Photon Counting LiDAR
University essay from Linköpings universitet/DatorseendeAbstract : Deep learning has shown to be successful on the task of semantic segmentation of three-dimensional (3D) point clouds, which has many interesting use cases in areas such as autonomous driving and defense applications. A common type of sensor used for collecting 3D point cloud data is Light Detection and Ranging (LiDAR) sensors. READ MORE
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2. Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation
University essay from Lunds universitet/Matematik LTHAbstract : Semantic segmentation of medical images is an important task with many applications. However, manually delineating 3D images is time-consuming and the demand for automation is high. For many image segmentation tasks, deep learning has provided state-of-the-art results. READ MORE
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3. An Object-Oriented Data Analysis approach for text population
University essay from KTH/Matematisk statistikAbstract : With more and more digital text-valued data available, the need to be able to cluster, classify and study them arises. We develop in this thesis statistical tools to perform null hypothesis testing and clustering or classification on text-valued data in the framework of Object-Oriented Data Analysis. READ MORE
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4. “Bridging the Lonely Distances”: A Study of Metaphorical and Physical Voice in Don DeLillo’s The Names from the Perspective of Post-Classical Narratology
University essay from Malmö universitet/Fakulteten för kultur och samhälle (KS)Abstract : This paper explores narratology with a focus on metaphorical and physical voice in Don DeLillo’s 1982 novel, The Names. Beginning with an overview of previous criticism on the novel and an exploration of its post-modern qualities, I progress into a discussion of meaning, and how it can be found in the narratological voice. READ MORE
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5. Measuring Semantic Distances between Software Artifacts to Consolidate Issues from the Development and the Field
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : Identifying and keeping track of different structural representations of functionally overlapping issues is important in order to keep a well maintained issue management corpus, establishing efficient and organized response ability to develop and code software patches repairing these issues and defects. This is normally achieved by manual, time-costly reviewing-processes by special teams put up to this task. READ MORE