Essays about: "extract relevant features"
Showing result 1 - 5 of 29 essays containing the words extract relevant features.
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1. Extraction of Global Features for enhancing Machine Learning Performance
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. READ MORE
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2. EXTRACTING REGIONS OF INTEREST AND DETECTING OUTLIERS FROM IMAGE DATA
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Volvo Construction Equipment (CE) are facing the challenge of vibrations in their wheel loaders that generate disruptive noise and impact the driver's experience. These vibrations have been linked to the contact surface between the crown wheel and pinion gear in the vehicles drive-axles. READ MORE
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3. Improving Pith Detection and Automated Log Identification using AI
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Tracking of tree logs from a harvesting site to its processing site is a legal requirement for timber-based industries. Wood log identification is an important task in the forestry industry and has traditionally relied on manual inspection by trained experts. READ MORE
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4. Unsupervised Domain Adaptation for 3D Object Detection Using Adversarial Adaptation : Learning Transferable LiDAR Features for a Delivery Robot
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 3D object detection is the task of detecting the full 3D pose of objects relative to an autonomous platform. It is an important perception system that can be used to plan actions according to the behavior of other dynamic objects in an environment. READ MORE
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5. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization
University essay from Lunds universitet/Matematik LTHAbstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE