Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Late Fusion"”.
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A Study in Object Detection and Classification Performance by Sensing Modality for Autonomous Surface Vessels
… performance analysis, and the introduction of a late-fusion strategy in the image frame to reduce bounding-box uncertainty. Performance metrics include training requirements, precision, recall, mean average precision (mAP), and computational efficiency. YOLO achieves low-latency, high-mAP visual …
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An end-to-end online quality prediction system for ultrasonic metal welding based on deep learning
… case study is presented to compare three data fusion strategies (early fusion, middle fusion, and late fusion) and traditional feature engineering-based methods. The results show that the proposed end-to-end quality prediction system outperforms traditional methods. In addition, the middle …
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Multimodal Non-Contact Sensing of Neonatal Vital Signs Using Radar and Video
… unimodal (solely video or radar) and multimodal fusion approaches that combine data from both sensors. Preliminary testing was conducted on neonatal simulator mannequins, followed by a clinical study at Tufts Medical Center NICU which collected data from 16 neonates so far (with the goal of …
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Multimodal Concept Detection and Annotation in Image and Video Collections
… task. However, users can not always formulate appropriate queries for finding the desired resources. In order to retrieve relevant information, the semantic relationships of the information in different modalities would need to be known and specified. This thesis approaches the multimodal …
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VastMM-Tag: Semantic Indexing and Browsing of Videos for E-Learning
… feature sets though two methods: early fusion and late fusion. Each takes different approaches to handling the different kinds of features in the heterogeneous set. We determine the most predictive feature sets for key-frame filters such as "has text", "has computer source code", or "has …
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Content-based indexing of low resolution documents
… as image search is concerned. Image search is related with finding images that are similar for the known query image found in a given image database. This thesis concerns with the methods used for the purpose of identifying documents that are captured using image capturing devices. In addition, …
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Statistical inference for complex networks
… a variational inference algorithm for dynamic latent space models. Compared with sampling-based methods such as Markov chain Monte Carlo (MCMC), the proposed algorithm yields similar empirical performance with much less computation time. We derive the theoretical properties of the variational …
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Polar Region Sea Ice Classification With Multimodal Learning
… image data and a RNN architecture for text data fusion, allowing the model to learn from multiple data modalities effectively. The experimental results demonstrate that the multimodal approach significantly outperforms single-modality models in terms of classification precision and accuracy. This …
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Improving music mood classification using lyrics, audio and social tags
… both methods of feature concatenation and late fusion (linear interpolation) of classifiers were examined and compared. Finally, system performances on various numbers of training examples and different audio lengths were compared. The results indicate: 1) social tags can help identify mood …
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Detekce objektu s využitím hloubkových dat
Táto bakalárska práca sa zaoberá detekciou objektov v obraze s využitím hĺbkových dát. Cieľom bolo zvoliť vhodné metódy hlbokého učenia a experimentálne ich overiť na relevantných dátových sadách. Práca začína prehľadom základných techník detekcie objektov v obraze a hĺbkových dátach. V rámci …
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Automatic Detection of Brain Functional Disorder Using Imaging Data
… brain images contain useful information related to the ADHD diagnosis problem? Can the classification accuracy of the automatic diagnosis system be improved combining the information of the structural and functional brain data? Towards that end, we developed a new method to combine the …