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 7 of 7 for “"Network Prior"”.
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Advanced Bayesian Monte Carlo Methods for Inference and Control
… problem arises when defining function space priors over high-dimensional domains. The commonly used Karhunen-Loève priors suffer from bad dimensional scaling: they require an orthogonal basis of the function space, which can often be obtained as a product of one-dimensional basis functions. …
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Privacy risk and de-anonymization in heterogeneous information networks
… are of multiple types, the released social network is a heterogeneous information network. Prior work has shown how privacy can be compromised in homogeneous information networks by the use of specific types of graph patterns. We show how the extra information derived from heterogeneity can …
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Persistent cascades and the structure of influence in a communication network
… the structure of influence in a communication network. We focus on cellular phone data, which provides a near-global population sample (in contrast to the relatively limited scope of social media and other internet-based datasets) at the expense of losing any knowledge of the content of the …
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Real-Time and High-Quality Musical Audio Streaming Over IP
… key challenges in real-time audio streaming over networks, including ultra-low latency, high reliability, and perceptual audio quality. One of the central components of the IoMusT paradigm is represented by Networked Music Performance (NMP) systems, which aim at enabling geographically displaced …
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ETHANOL REGULATION OF GLUCOCORTICOID RESPONSIVE GENES
… role in ethanol regulation of the Sgk1 gene network. Prior work by others showed that Sgk1 plays an important role modulating synaptic plasticity occurring in memory. Based on these findings, it is hypothesized that glucocorticoids and glucocorticoid responsive genes are responsible for …
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One-bit Compressed Sensing in the Presence of Noise
… reconstruction algorithms that use a deep neural network as a prior on the signal. In the first algorithm, we use a trained Generative model such as Generative Adversarial Networks and Variational Autoencoders as a prior. This trained network is used to reconstruct the compressed signal from …
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Part I - Access to UV photocured nanostructures via selective morphological trapping of block copolymer melts. Part II - Morphological phase behavior of poly(RTIL) containing block copolymer melts
… that allow for extended thermal processing prior to cure, in addition to precise trapping of selected morphologies, a consequence of the temperature independent UV curing mechanism. The parent PI-PEO block copolymer exhibited multiple melt-state morphologies including crystalline lamellae …