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Showing 1 to 10 of 10 for “"eigendecomposition"”.

  1. Fast order-recursive Hermitian Toeplitz eigenspace techniques for array processing

    … computational load involved in arriving at the eigendecompositions. The introduction of VLSI circuits and parallel processors however, has reduced the cost of computation A tremendously. As a consequence, we study eigendecomposition algorithms with highly parallel and A localized data flow, in …

    vt Repository record for Fast order-recursive Hermitian Toeplitz eigenspace techniques for array processing (opens in a new tab)

  2. Spectral graph theory analysis of software-defined networks to improve performance and security

    … the dual-basis analysis, which is based on the eigendecomposition of a weighted graph that accounts for the network topology and traffic load. A software-defined network closed-loop control scheme is developed; the scheme is modeled after a closed-loop control system that includes an observer …

    nps Repository record for Spectral graph theory analysis of software-defined networks to improve performance and security (opens in a new tab)

  3. Slice Sampling with Multivariate Steps

    … of the target distribution and use its eigendecomposition to take non-axis-aligned steps. Methods in the second group use the gradients at rejected proposed moves to approximate the local shape of the target distribution so that subsequent proposals move more efficiently through the …

    toronto-retro Repository record for Slice Sampling with Multivariate Steps (opens in a new tab)

  4. Ship target recognition

    … the use of super-resolution and noise reducing eigendecomposition techniques. Algorithms investigated include the Principal Eigenvector Method, the Total Least Squares Method, and the MUSIC method. A final proposal for future research and development concerns the use of time domain averaging to …

    cape-town Repository record for Ship target recognition (opens in a new tab)

  5. Denoising via Empirical Bayesian Pursuit

    … in a signal-adapted frame obtained via an eigendecomposition of the threshold-then-average denoising filter is considered, including proposing alternative eigendomain weightings as well as the derivation of lower bounds on signal concentration in the new eigenframe representation. Following …

    uiuc Repository record for Denoising via Empirical Bayesian Pursuit (opens in a new tab)

  6. Three-Dimensional Voxel-Based Neural Style Transfer and Quantification

    … led to the development of a second complementary Eigendecomposition-based style transfer approach applied on triangular meshes, which interactively creates complete stylized product portfolios in real-time. Altogether, this thesis provides an extensive and profound basis for future …

    bielefeld Repository record for Three-Dimensional Voxel-Based Neural Style Transfer and Quantification (opens in a new tab)

  7. Numerical Methods in Deep Learning and Computer Vision

    … matrix power functions, differentiable eigendecomposition (ED), feasible orthogonal matrix constraints in optimization and latent semantics discovery, and physics-informed techniques for solving partial differential equations in disentangled and equivariant representation learning. We …

    trento Repository record for Numerical Methods in Deep Learning and Computer Vision (opens in a new tab)

  8. Energy based visualisation of a Brayton cycle power conversion unit for the purpose of condition monitoring

    … namely a residual-based method and an eigendecomposition-based method. Both methods produced unique signatures, specific to the operating conditions of the PCU, which was successfully used for FDI. A third method (enthalpy-entropy error-based method) proposed by du Rand is also …

    nwu-za Repository record for Energy based visualisation of a Brayton cycle power conversion unit for the purpose of condition monitoring (opens in a new tab)

  9. Modified Kernel Principal Component Analysis and Autoencoder Approaches to Unsupervised Anomaly Detection

    … gram matrix and a cubic time complexity in its eigendecomposition. The problem of tuning the Gaussian kernel parameter, $sigma$, is solved using the mini-batch stochastic gradient descent (SGD) optimization of a loss function that maximizes the dispersion of the kernel matrix entries. Secondly, …

    vt Repository record for Modified Kernel Principal Component Analysis and Autoencoder Approaches to Unsupervised Anomaly Detection (opens in a new tab)

  10. Anomaly Detection in Aeroacoustic Wind Tunnel Experiments

    Wind tunnel experiments often employ a wide variety and large number of sensor systems. Anomalous measurements occurring without the knowledge of the researcher can be devastating to the success of costly experiments; therefore, anomaly detection is of great interest to the wind tunnel community. …

    vt Repository record for Anomaly Detection in Aeroacoustic Wind Tunnel Experiments (opens in a new tab)