Sökning: "outlier"
Visar resultat 11 - 15 av 153 uppsatser innehållade ordet outlier.
11. Bibliotek i Umeå stads medieplanering kring tv-spel
Kandidat-uppsats, Umeå universitet/Sociologiska institutionenSammanfattning : This paper aims to examine the various practices employed by libraries in the city ofUmeå in regards to the collection development of their video game selection.In addition to directly examining this process, it will also seek to develop anunderstanding of how different factors impact it, such as technical aspects, ageratings, genres, and game platforms. LÄS MER
12. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. LÄS MER
13. EXTRACTING REGIONS OF INTEREST AND DETECTING OUTLIERS FROM IMAGE DATA
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : 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. LÄS MER
14. Outlier Robustness in Server-Assisted Collaborative SLAM : Evaluating Outlier Impact and Improving Robustness
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In order to be able to perform many tasks, autonomous devices need to understand their environment and know where they are in this environment. Simultaneous Localisation and Mapping (SLAM) is a solution to this problem. LÄS MER
15. Evaluating Membership Inference Attacks on Synthetic Data Generated With Formal Privacy Guarantees
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Synthetic data generation using generative machine learning has been increasinglypublicized as a new tool for data anonymization. It promises to offer privacy whilemaintaining the statistical properties of the original dataset. This study focuses on the riskswith synthetic data by looking mainly at two aspects: privacy and utility. LÄS MER