Essays about: "• Clustering Models thesis"
Showing result 21 - 25 of 137 essays containing the words • Clustering Models thesis.
-
21. Self-Supervised Fine-Tuning of sentence embedding models using a Smooth Inverse Frequency model : Automatic creation of labels with Smooth Inverse Frequency model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sentence embedding models play a key role in the field of Natural Language Processing. They can be exploited for the resolution of several tasks like sentence paraphrasing, sentence similarity, and sentence clustering. READ MORE
-
22. Text Curation for Clustering of Free-text Survey Responses
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : When issuing surveys, having the option for free-text answer fields is only feasible where the number of respondents is small, as the work to summarize the answers becomes unmanageable with a large number of responses. Using NLP techniques to cluster these answers and summarize them would allow a greater range of survey creators to incorporate free-text answers in their survey, without making their workload too large. READ MORE
-
23. 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
-
24. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Real-time spatial awareness is essential in areas such as robotics and autonomous navigation. However, as environments expand and become increasingly complex, maintaining both a low computational load and high mapping accuracy remains a significant challenge. READ MORE
-
25. Recommendation System for Insurance Policies : An Investigation of Unsupervised and Supervised Learning Techniques
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Recommendation systems have significantly influenced user experiences across various industries, yet their application in the insurance sector remains relatively unexplored. This thesis focuses on developing a car insurance recommendation system that implements a `consumers like you' feature. READ MORE