Essays about: "hierarchical classification"
Showing result 16 - 20 of 50 essays containing the words hierarchical classification.
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16. NSGA-II DESIGN FOR FEATURE SELECTION IN EEG CLASSIFICATION RELATED TO MOTOR IMAGERY
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : Feature selection is an important step regarding Electroencephalogram (EEG) classification, for a Brain-Computer Interface (BCI) systems, related to Motor Imagery (MI), due to large amount of features, and few samples. This makes the classification process computationally expensive, and limits the BCI systems real-time applicability. READ MORE
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17. 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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18. Automatic SLAMS detection and magnetospheric classification in MMS data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Short Large-Amplitude Magnetic Structures (SLAMS) have been observedby spacecraft near Earth’s quasi-parallel bow shock. They arecharacterized by a short and sudden increase of the magnetic field,usually by a factor of 2 or more. READ MORE
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19. Incorporating speaker’s role in classification of text-based dialogues
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Dialogues are an interesting type of document, as they contain a speaker role feature not found in other types of texts. Previous work has included incorporating a speaker role dependency in text-generation, but little has been done in the realm of text classification. READ MORE
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20. Modelling Hierarchical Structures in Networks Using Graph Theory : With Application to Knowledge Networks in Graph Curricula
University essay from Uppsala universitet/Signaler och systemAbstract : Community detection is a topic in network theory that involves assigning labels to nodes based on some distance measure or centrality index. Detecting communities within a network can be useful to perform information condensation. READ MORE