yusuke1997/dblp-id-title huggingface dataset:
On marginal particle filters with linear complexity
Online deconvolution for pushbroom hyperspectral imaging systems
Nonlinear dimensionality reduction on graphs
Efficient channel estimation in massive MIMO systems - a distributed approach
Subpixel Target Detection in Hyperspectral Imaging
Distributed edge-variant graph filters
Enhanced Backpressure Routing Using Wireless Link Features
Potential impacts of aggregator-controlled plug-in electric vehicles on distribution systems
Multiuser bi-directional communications in cooperative relay networks
On Epps effect and rebalancing of hedged portfolio in multiple frequencies
Worst-Case SINR Maximization Based Robust Adaptive Beamforming Problem with a Nonconvex Uncertainty Set
Decoding the Hidden: Direct Image Classification Using Coded Aperture Imaging
Nonlinear spectral unmixing using residual component analysis and a Gamma Markov random field
Fast converging decentralized WSRMax for MIMO IBC with low computational complexity
Preparing for the Inevitable: Preventing Outages Using Resilient RIS-Assisted JCAS
Improved DOA estimators using partial relaxation approach
A new inversion method for NMR signal processing
Time-Delay estimation via CPD-GEVD applied to tensor-based GNSS arrays with errors
Predicting voltage stability margin via learning stability region boundary
Independent low-rank matrix analysis based on parametric majorization-equalization algorithm
Extended target localization with total-variation denoising in through-the-wall-imaging
Distributed Robust Bayesian Cluster Enumeration Criterion for Unsupervised Learning
Achievable Rate with Correlated Hardware Impairments in Large Intelligent Surfaces
Computational advances in sparse L1-norm principal-component analysis of multi-dimensional data
Operational characteristics of wigner-ville accelerating target detector
Clutter rejection for MTI radar using a single antenna and a long integration time
Recent results on sparse principle component analysis
Efficient sparsity-based algorithm for parameter estimation of the tri-exponential intra voxel incoherent motion (IVIM) model: Application to diffusion-weighted MR imaging in the liver
Seismic interferometry for sparse data: SVD-enhanced Green's function estimation
Tensor completion via optimization on the product of matrix manifolds
A distributed algorithm for partitioned robust submodular maximization
A classify-while-track approach using dynamical tensors
Byzantine-Resilient locally optimum detection using collaborative autonomous networks
Hierarchical clustering and consensus in trust networks
Multicast relay beamforming through dual approach
Risk-unbiased bound for random signal estimation in the presence of unknown deterministic channel
Autoencoder-Based Learning of Transmission Parameters in Fast Pulse-Echo Ultrasound Imaging Employing Sparse Recovery
4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011, San Juan, PR, USA, December 13-16, 2011
Sparse image super-resolution via superset selection and pruning
High Dimensional Robust Classification: A Random Matrix Analysis
Recursive Shrinkage Covariance Learning in Adaptive Importance Sampling
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering
Sparsity-Driven Moving Target Detection in Distributed Multistatic FMCW Radars
Multi-channel opportunistic spectrum access in unslotted primary systems with unknown models
Reduced-complexity distributed beamforming algorithm for individual relay power constraints
Uniqueness of Tensor Train Decomposition with Linear Dependencies
Improved blind separation algorithm for overlapping secondary surveillance radar replies
Statistical modeling and classification of reflectance confocal microscopy images
Filter bank based fractional delay filter implementation for widely accurate broadband steering vectors
Universal multiple outlier hypothesis testing
Adaptive beamforming with augmentable arrays in non-stationary environments
Dynamic Tomography Reconstruction via Low-Rank Modeling with a RED Spatial Prior
Asymptotic detection performance analysis of the robust Adaptive Normalized Matched Filter
A Message Passing Based Receiver for Extra-Large Scale MIMO
Fast-convergent distributed coordinated precoding for TDD multicell MIMO systems
An interior point method for a semidefinite relaxation based equalizer incorporating prior information
Resource Allocation for Two-Way Active Channels with Unequal Subchannel Noise Powers
Photon-Limited fluorescence lifetime imaging microscopy signal recovery with known bounds
Wideband source localization using one-bit quantized arrays
Filtering of nonlinear time-series coupled by fractional Gaussian processes
A Random Matrix Analysis and Optimization Framework to Large Dimensional Transfer Learning
ML-PMHT threshold determination for false track probability using extreme-value analysis
Particle Filtering for Online Space-Varying Blur Identification
Parameterized Inverse Eigenvalue Problem for Quantum Sensing
Resolving scaling ambiguities with the ℓ1/ℓ2 norm in a blind deconvolution problem with feedback
A Novel Discrete Phase Shift Design for RIS-Assisted Multi-User MIMO
Joint MEG-EEG signal decomposition using the coupled SECSI framework: Validation on a controlled experiment
Performance analysis of ESPRIT-type algorithms for strictly non-circular sources using structured least squares
An efficient Direction-Of-Arrival estimation method for Uniform Rectangular Array based on array covariance matrix element properties
Bias correction for distributed Bayesian estimators
Successive convex approximation for system performance optimization in a multiuser network with multiple mimo relays
Robust detection of random events with spatially correlated data in wireless sensor networks via distributed compressive sensing
Partially constrained adaptive beamforming for super-resolution at Low SNR
A Comparative Study of the Performance of Parameter Estimation of a 2-D Field Using Line- and Point-Projection Sensors
8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019, Le Gosier, Guadeloupe, December 15-18, 2019
CANDECOMP/PARAFAC (CP) direction finding with multi-scale array
Coupled tensor decompositions for applications in array signal processing
Partial-diffusion recursive least-squares estimation over adaptive networks
Identifying Decaying Sinusoidal Modes Using Signed Measurements
Multi-Mode antenna specific direction-of-arrival estimation schemes
Design of weighted median graph filters
Phase transition in the hard-margin support vector machines
Gene prioritization via weighted Kendall rank aggregation
Hybrid energy storage and generation planning with large renewable penetration
Impact of reflections in enclosed mmWave wearable networks
Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter
DOA estimation in MIMO radar with broken sensors by difference co-array processing
Array processing with known waveform and steering vector but unknown diagonal noise covariance matrix
Tracking abruptly changing channels in mmWave systems using overlaid data and training
Sparse Overdispersed Photon-Limited Signal Recovery with Upper and Lower Bounds
Uncertainty Aware Kernel Estimation and Edge Preserving Attention for Blind Image Deblurring
Communication-Efficient distributed optimization for sparse learning via two-way truncation
Modelling and analysis of radio tomography
Towards Surface Mapping Using GNSS-IR
ℓ0-optimization for channel and DOA sparse estimation
Second-Order Filtering Algorithm for Streaming Optimization Problems
Robust covariance matrix estimates with attractive asymptotic properties
Multiuser Detection for Large Massively Concurrent NOMA Systems via Fractional Programming
X-ray CT reconstruction via 𝓁 0 gradient projection
Adaptive Sampling for Seabed Identification from Ambient Acoustic Noise
Anomaly Detection in Graph Signals with Canonical Correlation Analysis
On the role of sampling and sparsity in phase retrieval for optical coherence tomography
Compressive sensing seismic acquisition by using regular sampling in an orthogonal grid
Computable performance analysis of block-sparsity recovery
Online Network Topology Inference with Partial Connectivity Informatio
Distributed throughput maximization for multi-channel ALOHA networks
Online learning of load elasticity for electric vehicle charging
Performance limits of energy detection systems with massive receiver arrays
Gridless Joint Multi-Band DOA Estimation for Spectrum Sensing
Channel Estimation for Beyond Diagonal Reconfigurable Intelligent Surfaces with Group-Connected Architectures
Distributed big-data optimization via block communications
On Approximate Message Passing Algorithms for Unlimited Sampling of Sparse Signals
Experimental results of compressive sensing based imaging in ultrasonic non-destructive testing
Robust Deep Image Recovery from Sparsely Corrupted and Sub-Sampled Measurements
Multi-Agent asynchronous nonconvex large-scale optimization
Deep Learning from Noisy Labels via Robust Nonnegative Matrix Factorization-Based Design
Blind identification of graph filters with sparse inputs
Probability of Resolution of Partially Relaxed DML an Asymptotic Approach
Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennas
Ultrasound testing of metallic structures using a dual symmetric path inspection and a matched filter-based method
Unsupervised restoration of subsampled images constructed from geometric and binomial data
An Alternating Direction Method of Multipliers for constrained joint diagonalization by congruence
Recovering second-order statistics from compressive measurements
Multi-sensor networked estimation in electric power grids
Joint Sparse Estimation with Cardinality Constraint via Mixed-Integer Semidefinite Programming
Stochastic semiparametric regression for spectrum cartography
Distributed Superresolution Gas Source Localization Based on Poisson Equation
A Multi-Band Active Array for Direction-of-Arrival Estimation
Censoring diffusion for harvesting WSNs
Scanning policy optimization for LPRF maritime radars
Widely separated MIMO radar with adaptive waveform for target classification
Sparsity based super-resolution in optical measurements
On the Choice of Reference in Offset Calibration
Multiple Speaker Tracking Using Coupled HMM in the STFT Domain
Clustering on the Stiefel Manifold with Symmetric Block Term Decomposition
A Distributed First-Order Optimization Method for Strongly Concave-Convex Saddle-Point Problems
Blind calibration of multi-channel samplers using sparse recovery
Target recognition with high-fidelity target signatures and adaptive waveforms in MIMO radar
Harvested power maximization in QoS-Constrained MIMO SWIPT with generic RF harvesting model
The Mean-Squared-Error of autocorrelation sampling in coprime arrays
Recurrent generative adversarial neural networks for compressive imaging
OCTEN: Online Compression-Based Tensor Decomposition
Efficient recovery from noisy quantized compressed sensing using generalized approximate message passing
Extended defect localization in sparsity-based guided wave structural health monitoring
Measuring conflict in a multi-source environment as a normal measure
Matrix Low-Rank Trust Region Policy Optimization
Prediction of driver's drowsy and alert states from EEG signals with deep learning
Structured dictionary optimization: application to the modulated wideband converter
Non-Cartesian Non-Fourier FMRI Imaging for High-Resolution Retinotopic Mapping at 7 Tesla
Expected likelihood support for blind SIMO channel identification
Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop
Successive Projection Algorithm Robust to Outliers
Measure-Transformed Two-Sample Hotelling Test
Localization of multiple simultaneously active sources in acoustic sensor networks using ADP
Joint ranging and clock synchronization for a wireless network
Adaptive detection of a Gaussian signal in Gaussian noise
L1-PCA signal subspace identification for non-sphered data under the ICA model
ML-based Motion Estimation in Ultrasound Images Using Heavy-tailed Noise Distributions
Super-resolution of point sources via convex programming
LoRa Modulation for Split Learning
Fast Adaptive Scene Sampling for Single-Photon 3D Lidar Images
A new clustering algorithm for PolSAR images segmentation
Velocity profiler in IEEE 802.22 based PCL system
Bayesian bhattacharyya bound for discrete-time filtering revisited
Bayesian cyclic bounds for periodic parameter estimation
Scalable convex methods for phase retrieval
A multivariate multifractal analysis of lacunary wavelet series
Exploiting spatial diversity in multiagent reinforcement learning based spectrum sensing
Adaptive target altitude estimation using multipath for 2D radar on spherical earth
Persistently active block sparsity with application to direction-of-arrival estimation of moving sources
Exploiting network topology information to mitigate ambiguities in VMP localization
Bayesian Self-Supervised Learning Using Local and Global Graph Information
An improved design of robust adaptive beamforming based on steering vector estimation
Target detection scheme with optimal inter-channel noncoherent data combining
Bayesian techniques for edge detection on polarimetric SAR images
Experimental Direction Finding Results Using a Time-Multiplexed Co-Array Approach
Spectrum-Sharing Between a Surveillance Radar and a MIMO Communication System in Cluttered Environments
Demystifying the Power Scaling Law of Intelligent Reflecting Surfaces and Metasurfaces
Understanding big data spectral clustering
Low complexity subspace approach for direction finding in bistatic MIMO radar
Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise
Primary receiver localization using sparsity and interference tweets
Fusion of Ultrasound and Magnetic Resonance Images for Endometriosis Diagnosis: A Non-Parametric Approach
Understanding Sample Complexities for Structured Signal Recovery from Non-Linear Measurements
Simultaneous recovery of a series of low-rank matrices by locally weighted matrix smoothing
Syntactic track-before-detect
A framework for actuator placement in large scale power systems: Minimal strong structural controllability
Distributed demand response for plug-in electrical vehicles in the smart grid
Maximization of the Fisher Information in PDA
Energy efficiency and base station selection in massive MIMO and small cell hybrid networks
Multi-layer graph analytics for social networks
A GEM hard thresholding method for reconstructing sparse signals from quantized noisy measurements
Hyperspectral Anomaly Detection on the Sphere
Efficient sensor selection with application to time varying graphs
Asymptotic results for multivariate local Whittle estimation with applications
A Markov decision process approach to multi-timescale scheduling and pricing in smart grids with integrated wind generation
Categorical matrix completion
Importance sampling strategy for non-convex randomized block-coordinate descent
A Rao-Blackwellized Random Exchange Diffusion Particle Filter for distributed emitter tracking
Study of nonlinear power optimization problems using algebraic graph theory
Methods for large scale hydraulic fracture monitoring
Efficient Algorithms for Robust Factored Radar STAP
Image classification using local tensor singular value decompositions
Distributed cognitive spectrum sensing via group sparse total least-squares
Optimization of the rate adaptation procedures in xDSL systems
Low PAPR waveform synthesis with application to wideband MIMO radar
Locating salient items in large data collections with compressive linear measurements
Adaptive noisy importance sampling for stochastic optimization
Nonlinear system identification: Finding structure in nonlinear black-box models
Localization Performance of 1-Bit Passive Radars in NB-IOT Applications
Adaptive PRF selection technique for multiple targets in track-before-detect
Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images
Beyond sparsity: Universally stable compressed sensing when the number of 'free' values is less than the number of observations
Efficient relay sharing (EReSH) between multiple operators in amplify-and-forward relaying systems
NCTR in netted radar systems
Energy efficient transmission in MIMO interference channels with QoS constraints
Performance of range-only TMA
Distributed spectrum sensing in the presence of selfish users
Distributed reinforcement learning in multi-agent networks
Transmit beamforming for minimum outage via stochastic approximation
On GROUSE and incremental SVD
Sparse-based estimators improvement in case of Basis mismatch
Fundamental limits of phasemax for phase retrieval: A replica analysis
Prescient beamforming in multi-user interweave cognitive radio networks
Diffusion adaptation over networks with kernel least-mean-square
Cramér-Rao-Induced bound for interference-to-signal ratio achievable through non-Gaussian independent component extraction
On the achievable rate of multi-antenna receivers with oversampled 1-bit quantization
An algebraic approach to rank-constrained beamforming
Fundamental properties of dynamic occupancy grid systems for vehicle environment perception
Simultaneous regularized sparse approximation for wood wastes NIR spectra features selection
Importance of Array Redundancy Pattern in Active Sensing
A bilateral-market based mechanism for spectrum allocation in cognitive radio networks
Underwater Acoustic Detection and Localization with a Convolutional Denoising Autoencoder
Algorithms for the multi-sensor assignment problem in the δ-generalized labeled multi-Bernoulli filter
Gaussian graphical models for proper quaternion distributions
Simultaneous target state and sensor bias estimation: Is more better?
A Concentration of Measure Perspective to Robust Statistics
An Adaptive Bayesian Framework for Recovery of Sources with Structured Sparsity
Distributed Global Optimization by Annealing
Wavefront Adaptive Sensing Beamformer for Shallow-Water Broadband Interference Mitigation
Identification of separable systems using trilinear filtering
Auto-Calibration of Co-Located Uniform Linear Array Antennas
Demand side management trends in the power grid
A Super-Resolution Algorithm for Extended Target Localization
Distributed Learning with Convex SUM-of -Non-Convex Objective
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017, Curaçao, The Netherlands, December 10-13, 2017
Salient Motion Detection for Spectral Video on the Compressive Domain
Image and Depth Estimation with Mask-Based Lensless Cameras
On the delay-Doppler tracking error for sub-nyquist satellite-based synchronization
Experimental Corroboration of Trained Classification Performance Predictions
Restoration of depth and intensity images using a graph laplacian regularization
Nonlinear state space model identification using a regularized basis function expansion
Randomized multi-pulse time-of-flight mass spectrometry
Localization with multicomponent seismic array
Constrained imaging for radio astronomy
Structured sampling and recovery of iEEG signals
Optimal sensing matrix for sparse linear models
Symbol-Error Probability Constrained Power Minimization for Reconfigurable Intelligent Surfaces-Based Passive Transmitter
An Example of Non-Standard Behavior of a Maximum Likelihood Estimator in the Large Sample Regime
Toeplitz Inverse Eigenvalue Problem (ToIEP) and Random Matrix Theory (RMT) Support for Calculation of the Toeplitz Covariance Matrix Estimate
Variational Bayesian EM for SLAM
Fast LASSO based DOA tracking
Bias-Compensated MPDR beamformer for small number of samples
Is There Any Recovery Guarantee with Coupled Structured Matrix Factorization for Hyperspectral Super-Resolution?
A Unified View of Decentralized Algorithms for Sparse Linear Regression
Time-Delay and Doppler Estimation with a Carrier Modulated by a Band-Limited Signal
Penalty-Based multitask estimation with non-local linear equality constraints
Restricted update sequential matrix diagonalisation for parahermitian matrices
Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks
Regularized covariance estimation in scaled Gaussian models
Compressive sensing based channel estimation for massive MIMO systems with planar arrays
PAC Learning from Distributed Data in the Presence of Malicious Nodes
On the design and performance of TDBC-based bi-directional network beamforming
A sensor placement and network design paradigm for future smart grids
Aggregation sampling of graph signals in the presence of noise
Frequency domain distributed OFDM source detection
Binary Group Sparsity in Multi Anchor Direct Localization
Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction
Face recognition as a kronecker product equation
Data-Driven discovery of governing physical laws and their parametric dependencies in engineering, physics and biology
Unified Learning for Energy and Spectral Efficient Beamforming
An ADMM approach to distributed coordinated beamforming in dynamic TDD networks
Compressed Sensing with uncertainty - the Bayesian estimation perspective
Faster than Nyquist, slower than Tropp
Convergence of Nonconvex PNP-ADMM with MMSE Denoisers
Accelerating the Multivariate SKEW T Parameter Estimation
All-or-Nothing Phenomena: From Single-Letter to High Dimensions
Uplink Power Control in Cell-Free Massive MIMO via Deep Learning
Stochastic dynamic channel models for millimeter cellular systems
A convex relaxation approach to optimal placement of phasor measurement units
A Preconditioned Hessian Proximal Algorithm for Spectral Compressed Sensing
Adaptive waveform design for colocated MIMO radar using sparse modeling
A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization
Multiple source localization based on biased bearings using the intensity filter - approach and experimental results
Learning-Based Acoustic Source Localization Using Directional Spectra
A least squares algorithm for global joint decomposition of complex matrix sets
A fast model for solving the ECG forward problem based on an evolutionary algorithm
A novel method of DOA tracking by penalized least squares
Gaussian sum particle flow filter
Optimum microphone array for monaural and binaural in-the-canal hearing aids
Optimal collaborative resource allocation in multi-carrier two-way relay networks
Generative adversarial network-based restoration of speckled SAR images
Fast wideband near-field imaging with URAs applied to urban sensing
Blind Calibration for Sparse Regression: A State Evolution Analysis
Tensor decomposition exploiting structural constraints for brain source imaging
Transmission policies for asymmetric interference channels with energy harvesting nodes
Particle filter implementation of the multi-Bernoulli filter for superpositional sensors
Correlation-Based ultrahigh-dimensional variable screening
Global Robustness Characterization of DOA Estimators by Breakdown Detection
Multivariate Anomaly Detection in Mixed Telemetry time-series Using A Sparse Decomposition
Non-Coherent DOA Estimation Based on a Dual-Array Structure Without Reference Signals
6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, Cancun, Mexico, December 13-16, 2015
Bayesian Estimation of a Probability Mass Function Tensor with Automatic Rank Detection
Microkicking for fast convergence of sparse kaczmarz and sparse LMS
Kalman Filter for Dynamic Imaging Based on Complex Empirical Covariances
Structured Egonet Tensors for Robust Node Embedding
Compressed power spectrum, carrier and DOA estimation via PARAFAC decomposition
Mode Clustering for Markov Jump Systems
Maximization of Minimum Rate in MIMO OFDM RIS-Assisted Broadcast Channels
Fast and accurate radio interferometric imaging using krylov subspaces
Physics-based EM models in support of through-wall microwave imaging
Scalable and Adaptive KNN for Regression Over Graphs
Optical flow estimation in ultrasound images using a sparse representation