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 8 of 8 for “"Transform Learning"”.
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Transform learning based image and video processing
… adaptive sparse model. Recently, the sparsifying transform model has received interest, for which sparse coding is cheap and exact, and learning, or data-driven adaptation admits computationally efficient solutions. In this thesis, we present two extensions to the transform learning framework, and …
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Adaptive nonlocal and structured sparse signal modeling and applications
… signal modeling. However, synthesis dictionary learning typically involves expensive sparse coding and learning steps. Recently, sparsifying transform learning received interest for its cheap computation and its optimal updates in the alternating algorithms. Prior works on transform learning …
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Adaptive sparse representations and their applications
"The sparsity of signals and images in a certain transform domain or dictionary has been exploited in many applications in signal processing, image processing, and medical imaging. Analytical sparsifying transforms such as Wavelets and DCT have been widely used in compression standards. Recently, …
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Comparison of energy consumption with regard to type and percentage of glazing, location and orientation in classroom spaces
… are incorporating technology in classrooms to transform learning. The expanded presence of technology in the classroom has also affected how classrooms are designed. This study tries to determine a glazing ratio for classroom spaces of the future in regards to energy consumption as a combined …
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Visualisation of Interactions in Online Collaborative Learning Environments
… has focused on the introduction of ‘Virtual Learning Environments’ (VLE’s) to universities, documenting practice and sharing experience. Communicative tools are the means by which VLE’s have the potential to transform learning with computers from being passive and transmissive in nature, to …
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Link Game Theory and Machine Learning in Theories and Applications
… behavioral relations. On the other hand, machine learning is the study of computer algorithms that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In this dissertation, we try to advance machine learning with game theory in both …
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A blended learning model in higher education: a comparative study of blended learning in UK and Malaysia
Blended learning, involves the combination of two fields of concern: technology and education; or two groups of people: technologists and educationists. However, current literature shows less consideration on the potential disciplinary gap in the blended learning experience, as a result there is a …
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Bridging Mri Reconstruction Across Eras: From Novel Optimization Of Traditional Methods To Efficient Deep Learning Strategies
… of images in a pre-specified linear transform domain. Transform learning (TL) was another line of work that learned the linear transforms from data, while enforcing sparsity as in CS. Recently, deep learning (DL) has shown great promise for MRI reconstruction, especially at high …