Essays about: "Pattern Recognition and Classification"
Showing result 1 - 5 of 35 essays containing the words Pattern Recognition and Classification.
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1. Influence of Automatically Constructed Non-Equivalent Mutants on Predictions of Metamorphic Relations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Behovet av tillförlitliga, motståndskraftiga, och beständiga system är uppenbart i vårt samhälle, som i ökande grad blir allt mer beroende av mjukvarulösningar. För att uppnå tillfredsställande nivåer av säkerhet och robusthet måste alla system kontinuerligt genomgå tester. READ MORE
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2. 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
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3. Modeling and Interpreting CTG Curves from Labor Using Machine Learning and Pattern Recognition
University essay from Lunds universitet/Matematisk statistikAbstract : The main monitoring method during labor is cardiotocography, CTG, which measures the fetal heartbeat, FHR, as well as the uterine contractions, TOCO. The CTG is a valuable tool in assessing the fetal status and it is evaluated intermittently by clinicians during the progress of the labor. READ MORE
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4. Deep Learning for Deep Water: Robust classification of ship wakes with expert in the loop
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This work examines the applicability of the deep learning models to pattern recognition in acoustic ocean data. The features of the dataset include noise, data scarcity and the lack of labeled samples. A deep learning model is proposed for the task of automatic wake detection. READ MORE
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5. Activity Recognition Using Supervised Machine Learning and GPS Sensors
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human Activity Recognition has become a popular research topic among data scientists. Over the years, multiple studies regarding humans and their daily motion habits have been investigated for many different purposes. READ MORE