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 20 of 539 for “"Kernels"”.
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Analytic Group Kernels and Lie Algebra Kernels
Made available in DSpace on 2014-12-05T21:50:04Z (GMT). No. of bitstreams: 1 0013519.pdf: 4191483 bytes, checksum: 8be73568683b59703b526632ade49bfc (MD5) Previous issue date: 1955
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Noncommutative Kernels
Positive kernels and their associated reproducing kernel Hilbert spaces have played a key role in the development of complex analysis and Hilbert-space operator theory, and they have recently been extended to the setting of free noncommutative function theory. In this paper, we develop the subject …
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Photoacoustic analysis of wheat kernels
Call number: LD2668 .T4 1986 E34
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Photoacoustic analysis of wheat kernels
Call number: LD2668 .T4 1986 E34
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Volterra Systems with Realizable Kernels
… constructing state representation for realizable kernels can be challenging at times; therefore, we propose a rational approximation approach to avoid the problem. That is, we approximate the transfer function by a rational function, construct the corresponding linear system, and then approximate …
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Singular Integral Equations With Normal Kernels
Made available in DSpace on 2014-12-05T21:50:00Z (GMT). No. of bitstreams: 1 0009110.pdf: 1400405 bytes, checksum: 7560a050b0120fb0b0b08993c8a0cbb4 (MD5) Previous issue date: 1954
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Burst Imaging with Learned Continuous Kernels
… we propose a method that learns continuous kernels to process and merge burst frames. We show that the learned kernels adapt to local image information and take advantage of sub-pixel sample location information to demosaic, denoise and merge the burst into a high quality output.
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Gradient-Based Sensitivity Analysis with Kernels
Emulation of computer experiments via surrogate models can be difficult when the number of input parameters determining the simulation grows any greater than a few dozen. In this dissertation, we explore dimension reduction in the context of computer experiments. The active subspace method is a …
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Higher Rank Bergman Kernels on Compact Riemann Surfaces
Let X be a compact Riemann surface equipped with a real-analytic Kahler form omega and let E be a holomorphic vector bundle over X equipped with a real-analytic Hermitian metric h. Suppose that the curvature of h is Griffiths-positive. We prove the existence of a global asymptotic expansion in …
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Frames and reproducing kernels in a Hilbert space
… a connection between frames and reproducing kernels and using this connection we categorize the frames into various kinds. Finally space H using reproducing kernel Hilbert spaces H K on H = L 2 ( X, v, C n ).
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Linear Transformations as Integral Transformations With Distributional Kernels
Made available in DSpace on 2014-12-05T21:50:13Z (GMT). No. of bitstreams: 1 5904549.pdf: 2005171 bytes, checksum: 9b05389327e9ca075fe72fb6c76fa152 (MD5) Previous issue date: 1959
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Simplifying Equivariant GPU Kernels through Tile-based Programming
E(3)-equivariant neural networks have demonstrated success across a wide range of 3D modeling tasks. Until recently, they were bottlenecked due to their high memory and wall-time requirements. In this thesis we first provide an overview of recent GPU kernel efforts by both academia and industry …
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Optimizing communication bottlenecks in multiprocessor operating system kernels
… for some applications, such as operating system kernels, parallelization reveals inter-core communication as a performance bottleneck. When data is updated on one core and read or written on other cores, the cache coherence protocol serializes accesses to the data. The result is that each access …
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Automatic Scheduling of Compute Kernels Across Heterogeneous Architectures
… a system for automatically scheduling compute kernels by extracting program characteristics and applying machine learning techniques. We develop a machine learning process that is system-agnostic, and works for a variety of contexts (e.g. embedded, desktop/workstation, server). Finally, we …
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Towards automatic migration of sequential kernels : Numba to PyKokkos
… Python user. It requires type annotations in kernels, and has a rigid resemblance to its parent, Kokkos's programming patterns. Numba, on the other hand, is a well known just-in-time (JIT) compiler for Python that is widely used. This work improves the usability and migration cost to PyKokkos …
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