Sökning: "hierarchical fusion"
Visar resultat 1 - 5 av 7 uppsatser innehållade orden hierarchical fusion.
1. Automatic Interpretation of Ion Beam Measurements of Walls in Fusion Machines
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The purpose of this study is to investigate whether it is possible to automatically interpret theresults of Time-of-flight Elastic Recoil Detection Analysis (ToF-ERDA). And if so, find out if the automaticinterpretation is quicker and/or more accurate than the current approach that consists of manualanalysis. LÄS MER
2. Hierarchical Fusion Approaches for Enhancing Multimodal Emotion Recognition in Dialogue-Based Systems : A Systematic Study of Multimodal Emotion Recognition Fusion Strategy
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Multimodal Emotion Recognition (MER) has gained increasing attention due to its exceptional performance. In this thesis, we evaluate feature-level fusion, decision-level fusion, and two proposed hierarchical fusion methods for MER systems using a dialogue-based dataset. LÄS MER
3. Defect classification in LPBF images using semi-supervised learning
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskapSammanfattning : Laser powder bed fusion is an additive manufacturing technique that is capable of building metallic parts by spreading many layers of metal powder over a build surface and using a laser to melt specific sections of the surface. The part is built by melting consecutive layers on top of each other until the design is completed. LÄS MER
4. Semantic Scene Segmentation using RGB-D & LRF fusion
Master-uppsats, Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab)Sammanfattning : In the field of robotics and autonomous vehicles, the use of RGB-D data and LiDAR sensors is a popular practice for applications such as SLAM[14], object classification[19] and scene understanding[5]. This thesis explores the problem of semantic segmentation using deep multimodal fusion of LRF and depth data. LÄS MER
5. Object Detection in Domain Specific Stereo-Analysed Satellite Images
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Given satellite images with accompanying pixel classifications and elevation data, we propose different solutions to object detection. The first method uses hierarchical clustering for segmentation and then employs different methods of classification. LÄS MER