Sökning: "Markov Random Fields"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Markov Random Fields.

1. 1. Spatial modeling with INLA for analysis of unequal care in Skåne

   Kandidat-uppsats, Lunds universitet/Matematisk statistik

   Författare :Julia Wierzchoslawska; [2023]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : The objective of this thesis is to extend on a previous analysis of health care accessibility for patients diagnosed with a chronic disease in Region Skåne. The previous analysis resulted in a logistic mixed effects model having municipality as a random effect and age as a first-degree spline-function. LÄS MER

3. 2. Exploring declarative rule-based probabilistic frameworks for link prediction in Knowledge Graphs

   Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

   Författare :Xiaoxu Gao; [2017]
   Nyckelord :Knowledge Graph; Link Prediction; Probabilistic Soft Logic; Hinge-loss Markov Random Fields; Kunskapsgraf; Länkförutsägelser; Probabilistic Soft Logic; Hinge-loss Markov Random Fields;

   Sammanfattning : En kunskapsgraf lagrar information från webben i form av relationer mellan olika entiteter. En kunskapsgrafs kvalité bestäms av hur komplett den är och dess noggrannhet. Dessvärre har många nuvarande kunskapsgrafer brister i form av saknad fakta och inkorrekt information. LÄS MER

4. 3. Enhancing Object RecognitionBased on Contextual InformationUsing Markov Logic Networks

   Master-uppsats, KTH/Datorseende och robotik, CVAP

   Författare :Jesper Karlsson; [2016]
   Nyckelord :;

   Sammanfattning : Perception is a crucial part of an autonomous robotic system, as it processes sensory input and extracts useful information for action planning and execution such as recognizing objects in the environment where the robot is to act. Although object recognition has been studied extensively and a lot of progress has been made, current systems often face difficulties in dealing with ambiguities and uncertainties in the raw sensory data. LÄS MER

5. 4. A comparative study of structured prediction methods for sequence labeling

   Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Aitor Palacios Cuesta; [2016]
   Nyckelord :;

   Sammanfattning : Some machine learning tasks have a complex output, rather than a real number or a class. Those outputs are composed by elements which have interdependences and structural properties. Methods which take into account the form of the output are known as structured prediction techniques. LÄS MER

7. 5. Automated Segmentation of the Pericardium Using a Feature Based Multi-atlas Approach

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Alexander Norlén; [2014]
   Nyckelord :computer vision; medical image analysis; multi-atlas segmentation; feature based registration; Markov Random Fields; pericardium segmentation; Mathematics and Statistics;

   Sammanfattning : Multi-atlas segmentation is a widely used method that has proved to work well for the problem of segmenting organs in medical images. But standard methods are time consuming and the amount of data quickly grows to a point making use of these methods intractable. LÄS MER