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subspace methods

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Showing 26–49 of 49 papers

TitleStatusHype
Subspace Methods That Are Resistant to a Limited Number of Features Corrupted by an Adversary—0
Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization—0
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection—0
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices—0
Sample Complexity of Kalman Filtering for Unknown Systems—0
SCAN-MUSIC: An Efficient Super-resolution Algorithm for Single Snapshot Wide-band Line Spectral Estimation—0
Sparse Spatial Smoothing: Reduced Complexity and Improved Beamforming Gain via Sparse Sub-Arrays—0
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology—0
System Identification with Variance Minimization via Input Design—0
The flag manifold as a tool for analyzing and comparing data sets—0
UNLEARN Efficient Removal of Knowledge in Large Language Models—0
One-Bit-Aided Modulo Sampling for DOA Estimation—0
On Learning Vehicle Detection in Satellite Video—0
Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace—0
Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds—0
Robust Bayesian Subspace Identification for Small Data Sets—0
Distributionally Robust Adaptive Beamforming—0
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian OptimizationCode0
Sequential Learning of Active SubspacesCode0
Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace MethodsCode0
Output behavior equivalence and simultaneous subspace identification of systems and faultsCode0
BOLT: Block-Orthonormal Lanczos for Trace estimation of matrix functionsCode0
PLAIN: Scalable Estimation Architecture for Integrated Sensing and CommunicationCode0
Randomized Kaczmarz Methods with Beyond-Krylov ConvergenceCode0
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