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 4 of 4 for “"Embedding learning"”.
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Low-rank estimation and embedding learning: theory and applications
… is low-rank estimation models and the other is embedding learning models. For data matrices, low-rank estimation is to recover an underlying data matrix, subject to the constraint the matrix is of reduced rank. Such analysis is also generalized to the high-dimensional higher-order tensor data. …
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Robot learning with strong priors
Embedding learning ability in robotic systems is one of the long sought-after objectives of artificial intelligence research. Despite the recent advancements in hardware, large-scale machine learning algorithms and theoretical understanding of deep learning, it is still quite unrealistic to deploy …
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Using games for learning: developing a methodological approach
… and techniques in the creation of a games-based learning environment. This could support the<br/>principle of enhancing student learning through the engagement and motivation evident in computer games, with the added benefits of reinforcement through reuse, and socialisation. An additional …
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Uncovering urban dynamics via cross-modal representation learning
… CrossMap, a novel cross-modal representation learning method that uncovers urban dynamics with massive GTSM data. After extracting activity-related tweets by measuring the dispersion degree of each keyword, CrossMap first employs an accelerated mode seeking procedure on all the extracted …