Essays about: "deep mixing"
Showing result 1 - 5 of 28 essays containing the words deep mixing.
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1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE
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2. Magmatic processes and storage beneath Heard Island, southern Indian Ocean
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : A young marine island called Heard Island is located in the southern Kerguelen Plateau in the Indian Ocean, a large igneous province created by the Kerguelen mantle plume. The two major geographic regions on Heard Island have two principal volcano-magmatic suites. READ MORE
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3. Learning with Synthetically Blocked Images for Sensor Blockage Detection
University essay from Linköpings universitet/DatorseendeAbstract : With the increasing demand for labeled data in machine learning for visual perception tasks, the interest in using synthetically generated data has grown. Due to the existence of a domain gap between synthetic and real data, strategies in domain adaptation are necessary to achieve high performance with models trained on synthetic or mixed data. READ MORE
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4. Finite Element Modeling of Installation Effects of Soil-Cement Columns
University essay from Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurserAbstract : Since the 1970's deep mixing columns have been widely used all over the world to improve the performance of soft soil in regard to bearing capacity or deformation behaviour. They are installed by mixing a binding agent, e.g. cement, in situ with the soil. READ MORE
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5. Semantic segmentation of off-road scenery on embedded hardware using transfer learning
University essay from KTH/MekatronikAbstract : Real-time semantic scene understanding is a challenging computer vision task for autonomous vehicles. A limited amount of research has been done regarding forestry and off-road scene understanding, as the industry focuses on urban and on-road applications. READ MORE
