Essays about: "multimodal fusion"
Showing result 11 - 15 of 18 essays containing the words multimodal fusion.
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11. Context-based Multimodal Machine Learning on Game Oriented Data for Affective State Recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Affective computing is an essential part of Human-Robot Interaction, where knowing the human’s emotional state is crucial to create an interactive and adaptive social robot. Previous work has mainly been focusing on using unimodal or multimodal sequential models for Affective State Recognition. READ MORE
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12. Multimodal Brain Age Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning models trained on MRI brain scans of healthy subjects can be used to predict age. Accurate estimation of brain age is important for reliably detecting abnormal aging in the brain. One way to increase the accuracy of predicted brain age is through using multimodal data. READ MORE
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13. Semantic Scene Segmentation using RGB-D & LRF fusion
University essay from Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab)Abstract : 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. READ MORE
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14. Multimodal Model for Construction Site Aversion Classification
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Aversion on construction sites can be everything from missingmaterial, fire hazards, or insufficient cleaning. These aversionsappear very often on construction sites and the construction companyneeds to report and take care of them in order for the site to runcorrectly. READ MORE
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15. Gating Networks in Learning Machines for Multimodal Data : Decision Fusion on Single Modality Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Different architectures of gating networks that aggregate information from multiple modalities and their suitability for decision fusion is investigated. The research question, how does a gating network for decision fusion in multimodal classification problem compare to other alternatives, is answered by a quantitative and inductive reasoning approach. READ MORE