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subspace methods

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Showing 1–49 of 49 papers

TitleStatusHype
An L-BFGS-B approach for linear and nonlinear system identification under _1 and group-Lasso regularizationCode2
Learning incomplete factorization preconditioners for GMRESCode1
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximationCode1
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA EstimationCode1
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse ProblemsCode1
Near Field Localization via AI-Aided Subspace MethodsCode1
A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA EstimationCode1
Discriminative Dimension Reduction based on Mutual Information—0
Ear Recognition With Score-Level Fusion Based On CMC In Long-Wave Infrared Spectrum—0
Fast Randomized Subspace System Identification for Large I/O Data—0
Ultra-Fast Accurate AoA Estimation via Automotive Massive-MIMO Radar—0
Fast Randomized-MUSIC for mm-Wave Massive MIMO Radars—0
Fast semi-supervised discriminant analysis for binary classification of large data-sets—0
Gridless Parameter Estimation in Partly Calibrated Rectangular Arrays—0
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision—0
IFF: A Super-resolution Algorithm for Multiple Measurements—0
Image processing—0
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate—0
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression—0
Line Spectral Analysis Using the G-Filter: An Atomic Norm Minimization Approach—0
MIMO Grid Impedance Identification of Three-Phase Power Systems: Parametric vs. Nonparametric Approaches—0
Multiple Subspace Alignment Improves Domain Adaptation—0
Random Subspace Local Projections—0
A measurement decoupling based fast algorithm for super-resolving point sources with multi-cluster structure—0
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization—0
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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