yusuke1997/dblp-id-title huggingface dataset:
Sphere decoding inspired approximation method to compute the entropy of large Gaussian mixture distributions
Bayesian noise model selection and system identification based on approximation of the evidence
Optimal estimation with arbitrary error metrics in compressed sensing
Transitivity matrix of social network graphs
Mapping equivalence under iterative dynamics for symbolic sequences
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems
A Robust Blind Source Separation Algorithm Based on Non-negative Matrix Factorization and Frequency-Sliding Generalized Cross-Correlation
Clutter mapping for Histogram PMHT
Network topology identification from spectral templates
Linear Distributed Algorithms For Localization In Mobile Networks
Physiological Parameters-Based Mobile and Non-Contact COVID-19 Screening System Using RGB-Depth-Thermal Cameras
Probabilistic graphical model for flash memory programming
A Data Efficient Vision Transformer for Robust Human Activity Recognition from the Spectrograms of Wearable Sensor Data
Dempster-Shafer Theory Based Robust Sequential Detection in Distributed Sensor Networks
Testing Equality of Principal Eigenvectors of Spiked Covariance Matrices
Network Intrusion Detection Using Flow Statistics
On the distribution of valid pages with greedy garbage collection for NAND flash
Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration
The P-Value as a New Similarity Function for Spectral Clustering in Sensor Networks
Reconstruction of seismic data via tensor completion
A Simple and Tight Bayesian Lower Bound for Direction-of-Arrival Estimation
A Non-Convex Approach To Joint Sensor Calibration And Spectrum Estimation
Towards Adaptive Self-Normalized Importance Samplers
The Cauchy-Schwarz divergence for poisson point processes
Rainfall Monitoring Using Microwave Links from Cellular Communication Networks: The Dutch Experience
Measure-Transformed Recursive Least Squares
Adaptive Reconstruction Along Mobile Sensing Paths
A Geometrical Study of the Bivariate Fractional Gaussian Noise
Distributed Particle Metropolis-Hastings Schemes
Generalized Adaptive Weighted Recursive Least Squares Dictionary Learning for Retinal Vessel Inpainting
Analysis dictionary learning for scene classification
Asymptotic analysis of the generalized symmetric FastICA algorithm
Influence Estimation on Social Media Networks Using Causal Inference
Marginalization on Bifurcation Diagrams: A New Perspective on Infinite-Horizon Prediction
Uniform Planar Array Broadband Angle of Arrival Estimation From Polynomial Steering Matrix
Improving of the interpretation of linear filtering preprocessing-based multiscale permutation entropy
Rank-adaptive Learning over Distributed Low-rank Networks via Online HQS Algorithm
On Enhanced Ensemble Learning for Multimodal Remote Sensing Data Analysis by Capacity Optimization
Modified Gauss-Newton Algorithms under Noise
Sparsity-Enabled Step Width Adaption For Linearized Bregman Based Algorithms
Compressive asynchronous decomposition of heart sounds
Weighting a resampled particle in Sequential Monte Carlo
Performance analysis for matrix completion via iterative hard-thresholded SVD
Comparing KL Divergence and MSE for Covariance Estimation in Target Detection
Block-wise map inference for determinantal point processes with application to change-point detection
An esprit-based parameter estimator for spectroscopic data
Secrecy Capacity Analysis of Transmit-Receive Diversity Systems
Gossip-based distributed data fusion of empirical probability measures
Improving SMC sampler estimate by recycling all past simulated particles
Graph entropy rate minimization and the compressibility of undirected binary graphs
A novel technique for optimizing the filter size of CNNs without backpropagation
Non-Parametric Online Changepoint Detection Algorithm
Absolute Eigenvalues-Based Covariance Matrix Estimation for a Sparse Array
A greedy, adaptive approach to learning geometry of nonlinear manifolds
On the Use of Mpc Amplitude Information in Radio Signal Based Slam
On Change Detection for Polsar Image Time Series: A New Clustering Approach
Sparse Bayesian SAR imaging of moving target via the EXCOV method
Vehicle Counting on Vietnamese Street
Differential Privacy for Positive and Unlabeled Learning With Known Class Priors
Alternating minimization approach for multi-frame image reconstruction
Improving model-based convolutive blind source separation techniques via bootstrap
A Variational Autoencoder with Semi-Supervised Latent Space for Source Term Estimation
An order fitting rule for optimal subspace averaging
An SOS-Based Algorithm for Source Separation in Nonlinear Mixtures
Estimating intrinsic dimension via clustering
Dictionary adaptation for online prediction of time series data with kernels
Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network
Gaussian mixture models with class-dependent features for speech emotion recognition
Zero-Padding OFDM Receiver Using Machine Learning
Post-Parameter-Selection Maximum-Likelihood Estimation
Estimation of Differential Graphs via Log-Sum Penalized D-Trace Loss
On the Timing Synchronization under 1-Bit Quantization and Oversampling
Bounded confidence opinion dynamics with network constraints and localized distributed averaging
Blind estimation of MIMO relay channels
Quadratic-Inverse Estimates Of Autocorrelation
Social Bubbles and Superspreaders: Source Identification for Contagion Processes on Hypertrees
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Extended UFIR filtering of nonlinear models corrupted by white Gaussian noise
IEEE 802.11bf Multistatic Sensing with Unsynchronized Receivers
Correlated observations in distributed detection systems
Edge Consensus Computing for Heterogeneous Data Sets
Power Allocation for distributed detection in a multiple-ring cluster
Minimum L1 norm SAR image formation
Constant turn model for converted Doppler measurement Kalman filter
Sparse Bayesian Generative Modeling for Joint Parameter and Channel Estimation
Optimal cancer therapy based on a tumor growth inhibition model
Robust spectral unmixing for anomaly detection
IEEE Statistical Signal Processing Workshop, SSP 2016, Palma de Mallorca, Spain, June 26-29, 2016
Least-Squares Based Layerwise Pruning Of Convolutional Neural Networks
Near-isometric linear embeddings of manifolds
Simultaneous Wireless Information and Power Transfer in Low-Latency Relaying Networks with Nonlinear Energy Harvesting
A Network Compatibility Condition For Compressed Sensing Over Complex Networks
Describing the structure of a macro molecular complex as a random Signal in noise and a maximum likelihood reconstruction
Provably and Roubst Blind Source Seperation of Ill-Conditioned Hyperspectral Mixtures
Approximate eigenvalue distribution of a cylindrically isotropic noise sample covariance matrix
From Random Matrices to Monte Carlo Integration Via Gaussian Quadrature
Basis-expansion factor models for uncovering transcription factor regulatory network
On the eigenvalue distribution of column sub-sampled semi-unitary matrices
A graphical approach to quickest outage localization in power grids
Multistage adaptive estimation of sparse signals
Improved Weighted Least Squares Algorithm for Hybrid AOA and TDOA Localization
Sparse posterior probability support vector machines
Fast convolution formulations for radar detection using LASSO
Distributed pareto-optimal solutions via diffusion adaptation
2018 IEEE Statistical Signal Processing Workshop, SSP 2018, Freiburg im Breisgau, Germany, June 10-13, 2018
Communication Quality Optimization for UAV Trajectory in Irregular Topography
Random Hyperplanes, Generalized Singular Values & "What's My β?"
An improved SIR-based Sequential Monte Carlo algorithm
New coherence and rip analysis for weak orthogonal matching pursuit
Gene deletion data based genomic regulatory network inference
Maneuvering target tracking based on SDE driven by garch volatility
Triplet Markov Trees for Image Segmentation
Subspace detection in a kernel space: The missing data case
Simulated Annealing: a Review and a New Scheme
SINR analysis in persymmetric adaptive processing
Estimating dynamic cortical connectivity from motor imagery EEG using KALMAN smoother & EM algorithm
Semi-infinite quadratic programming approach to design FIR filter for PAPR reduction in OFDM system
A random matrix theory model for the dominant mode rejection beamformer notch depth
Application of FIB/SEM/EDXS tomographic spectral imaging and multivariate statistical analysis to the analysis of localized corrosion
Union of Subspaces Signal Detection In Subspace Interference
Distributed multivariate regression with unknown noise covariance in the presence of outliers: An MDL approach
Analog joint source channel coding over MIMO fading channels with imperfect CSI
Sparse Power Factorization With Refined Peakiness Conditions
Crypto-Aided Bayesian Detection of False Data in Short Messages
On the convexity in Kronecker structured covariance estimation
Adaptive Constant Modulus Algorithm based oncomplex Givens rotations
Sampling schemes and parameter estimation for nonlinear Bernoulli-Gaussian sparse models
A generalized framework for learning and recovery of structured sparse signals
Deep One-Bit Compressive Autoencoding
Interior point solution of fractional Bethe permanent
Multi-Task Generative Modeling for the Air Channel via Hierarchical GANs
All-Digital Massive Mimo With a Fronthaul Constraint
Analysis of two-dimensional spectrum for geosyncheronous SAR
Disturbance Rejection for Robust Distributed Learning via Time-Vertex Filtering
Almost sure convergence of consensus algorithms by relaxed projection mappings
Robust Markov Random Field outlier detection and removal in subsampled images
Sparse Linear Precoders For Mitigating Nonlinearities In Massive MIMO
On the periodogram estimators of periods from interleaved sparse, noisy timing data
A Projection-Based Rao-Blackwellized Particle Filter to Estimate Parameters in Conditionally Conjugate State-Space Models
A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Images
NLOS mitigation in TOA-based indoor localization by nonlinear filtering under skew t-distributed measurement noise
Multi-bit Quantizer Design for Distributed Parameter Estimation
Nonparametric low-rank tensor imputation
A Diffusion Adaptation Approach to model Brain Responses in an EEG-based Hyperscanning Study
Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach
A selection criterion for piecewise stationary long-memory models
Equivalence of synthesis and atomic formulations of sparse recovery
Antenna Selection for Multi-Beam Multiplexing Design Based on the Hybrid Beamforming Architecture
MCMC methods for univariate exponential family models with intractable normalization constants
Joint Communications and Sensing Design for Multi-Carrier MIMO Systems
Broadband Array Time Reversal Method for Jamming with Protective Constraints
Machine Learning Approach to Estimate Video QoE of Encrypted DASH Traffic in 5G Networks
Group invariant subspace learning for outlier detection
A windowed graph Fourier transform
Global Optimisation for Time of Arrival-Based Localisation
Distributed Quantile Regression with Non-Convex Sparse Penalties
Intelligent Spectrum Sensing with ConvNet for 5G and LTE Signals Identification
Information theoretic approach to robust multi-Bernoulli sensor control
A refined analysis for the sample complexity of adaptive compressive outlier sensing
A search-and-revisit scanning policy to improve the detection rate in agile-beam radars
The best fitting multi-Bernoulli filter
Statistical Characterization of the Optimal Detector for a Signal with Time-Varying Phase Based on the Edgeworth Series
The Geometry of Constrained Randomwalks and an Application to Frame Theory
Compressive Online Decomposition of Dynamic Signals Via N-ℓ1 Minimization With Clustered Priors
Linear receivers for massive MIMO FBMC/OQAM under strong channel frequency selectivity
FFT-Based Approximations for Black-Box Optimization
Privacy-Preserving Convergent Dynamic Average Consensus via State Decomposition
Non-Stationarity and Offset Coherence Information in Geomagnetic Applications
Robust iteratively reweighted Lasso for sparse tensor factorizations
A Novel Transparency Strategy-based Data Augmentation Approach for BI-RADS Classification of Mammograms
A two-step optimal waveform design for detection in signal-dependent interference
Dual-Input Type Convolutional Neural Networks Employing Color Normalized and Nuclei Segmented Data for Histopathology Image Classification
A regularized sparse approximation method for hyperspectral image classification
Real Adaboost for content identification
Sparse Partial Least Squares for Coarse Noisy Graph Alignment
Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality
Variational Bayesian Inference for Pairwise Markov Models
Massive MIMO Channel Estimation Using Signed Measurements with Antenna-Varying Thresholds
A skewed exponential power distribution to measure value at risk in electricity markets
Bayesian model comparison via path-sampling sequential Monte Carlo
A Hypothesis Testing Approach to Nonstationary Source Separation
Hierarchical Bayesian variable selection in the probit model with mixture of nominal and ordinal responses
Energy-Efficient 1-Bit Feedback Noma in Wireless Networks with No CSIT/CDIT
Utilizing DETR model on SPECT image to assess remaining thyroid tissues post-thyroidectomy
Robust adaptive subspace detection in impulsive noise
Data-centric AI to Improve Early Detection of Mental Illness
A Convex Low-Rank Regularization Method for Hyperspectral Super-Resolution
Hierarchical clustering using randomly selected measurements
FOOD steganography with olfactory white
FASt global convergence of gradient methods for solving regularized M-estimation
Bayesian image segmentation of transmission electron tomography 3D reconstructions
The Perturbed Prox-Preconditioned Spider Algorithm: Non-Asymptotic Convergence Bounds
Learning rank reduced mappings using canonical correlation analysis
A New Method for Malware Classification Using Hyperspheres
System state estimation in the presence of false information injection
Radiolocation and tracking of automatic identification system signals
Signal Processing with a Distribution of Graph Operators
Measure-Transformed Graphical Lasso
Online Learning of Sparse Gaussian Conditional Random Fields with Application to Prediction of Energy Consumers Behavior
On the Stochastic Modeling of the NLMS Algorithm Operating with Bilinear forms
An Efficient Deep Network for Modulation Classification in Impaired MIMO-OFDM Systems
Robust hyperspectral unmixing accounting for residual components
USF Spectral Estimation: Prevalence of Gaussian Cramér-Rao Bounds Despite Modulo Folding
SINC: Synergistic Imaging and Communications via Distributed MU-MIMO
On the relation between the Gaussian information bottleneck and MSE-optimal rate-distortion quantization
Bayesian inference of diffusion networks with unknown infection times
Graph Learning From Noisy and Incomplete Signals on Graphs
Decentralized MMSE attacks in electricity grids
Sparsity-Aware Adaptive Proximal Forward-Backward Splitting Under The Principle Of Minimal Disturbance
IEEE Workshop on Statistical Signal Processing, SSP 2014, Gold Coast, Australia, June 29 - July 2, 2014
Multi-scale sparse coding with anomaly detection and classification
Steering vector estimation and beamforming under uncertainties
Conditional Diffusion for Single-Photon Lidar Depth Super-Resolution
Causal compressive sensing for gene network inference
Extending Polymatroid Set Functions With Curvature and Bounding the Greedy Strategy
Approximating Bayesian confidence regions in convex inverse problems
The value of information in constrained parametric models
Improper Signaling for OFDM Underlay Cognitive Radio Systems
Theoretical multidimensional resolution limit for MIMO Radar based on the Chernoff distance
Full-Duplex Cooperative NOMA Short-Packet Communications with K-Means Clustering
Order-based generalized multivariate regression
Inference of genetic regulatory networks using regularized likelihood with covariance estimation
Adaptive State Estimation Over Lossy Sensor Networks Fully Accounting for End-To-End Distortion
Oblique projection beamforming for RFI mitigation in radio astronomy
Evolutionary spectral graph clustering through subspace distance measure
Restricted Isometry Property in coded aperture compressive spectral imaging
Full order distributed particle filters for intermittent connections: Feedback from fusion filters to local filters improves performance
Weakly-supervised analysis dictionary learning with cardinality constraints
Diffusion LMS for source and process estimation in sensor networks
Bayesian framework and radar: On misspecified bounds and radar-communication cooperation
Differential privacy using Gamma distribution
Direction Finding with List-Based Orthogonal Matching Pursuit for Sparse Arrays
Improving Classification of Curved Chromosomes in Karyotyping using CNN-based Deformation
Kronecker graphical lasso
A novel pairing scheme to reduce error propagation in an amplify and forward multi-way relay network
The value of multispectral observations in photon-limited quantitative tissue analysis
A New EM Algorithm for 2D-3D Point Cloud Registration with Probabilistic Data Association
A Novel Tensor Tracking Algorithm for Block-Term Decomposition of Streaming Tensors
Probabilistic Tensor Train Decomposition with Automatic Rank Determination from Noisy Data
Lower Bound Analysis of Parameter Estimation of Moving Field by Sensors in Random Locations
Test statistics for synthetic aperture radar coherent change detection
Properties and Applications of Gromov Matrices In Network Inference
Combining SVMS for Classification on Class Imbalanced Data
Bayesian tomographic reconstruction for high angle annular dark field (HAADF) scanning transmission electron microscopy (STEM)
Intrinsic Properties of Human Accelerometer Data for Machine Learning
The performance of deterministic matched subspace detectors when using subspaces estimated from noisy, missing data
Random Features for Grassmannian Kernels
Clustering time-varying connectivity networks by riemannian geometry: The brain-network case
Signal-to-Noise-Ratio Analysis of Compressive Data Acquisition
Multi-Speaker Tracking by Fusing Audio and Video Information
Generating Correlation Matrices with Graph Structures Using Convex Optimization
A track-before-detect procedure for sparse data
Optimization of the loading factor of regularized estimated spatial-temporal wiener filters in large system case
Multifractal analysis of self-similar processes
Robust auxiliary particle filters using multiple importance sampling
Shrinkage covariance matrix estimator applied to STAP detection
Oracle performance estimation of Bernoulli-distributed sparse vectors
Graph Sparsification by Approximate matrix Multiplication
Terahertz radar imaging based on block sparse Bayesian learning framework
Maximum likelihood orthogonaldictionary learning
Detecting and Estimating Multivariate Self-Similar Sources in High-Dimensional Noisy Mixtures
Two stage decision system
Joint Channel Estimation and Symbol Detection in Overloaded MIMO Using ADMM
A bootstrap interval estimator for Bayes' classification error
Compressive Sensing with Augmented Measurements via Generative Self-Distillation
Wearable Electro-Phonocardiography Device for Cardiovascular Disease Monitoring
Experimental validation of a random matrix theory model for dominant mode rejection beamformer notch depth
Resource-Efficient Federated Learning Robust to Communication Errors
Regularized hyperalignment of multi-set fMRI data
The generalized Haar-Walsh transform
On the perturbation of localization networks using received signal strength
On the sample complexity of sparse dictionary learning
Detection of Pilot Spoofing Attack Over Frequency Selective Channels
Derivation of N-TH Order Cumulant Spectra
A Two-Stage Sparsity-Based Method for Location and Doppler Estimation in Bistatic Automotive Radar
A robust signal subspace estimator
A Probabilistic Approach for Adaptive State-Space Partitioning
Direct data domain based adaptive beamforming for FDA-MIMO radar
A Comparison Of Clipping Strategies For Importance Sampling
A model-free approachto increasing the effect size of FNIRS data
Detectability of patches in fractal textures for assessing Hölder exponent-based breast cancer risk evaluation
Optimal linear correction in LMMSE estimation using moments of the complex inverse Wishart distribution
SPADE: Sparsity-Adaptive Equalization for MMwave Massive MU-MIMO
The relationship between transfer entropy and directed information
Statistical Penalized-likelihood CT Image Reconstruction with Plug-and-play Priors
An Adaptive Hierarchical Search Algorithm for Millimetre-Wave Beam Alignment
MR Elasticity Reconstruction Using Statistical Physical Modeling and Explicit Data-Driven Denoising Regularizer
Research on Emotion Recognition Based on Multisource Signals
Sure-based blind Gaussian deconvolution
Arithmetic averaging for tracking: From density fusion to trajectory fusion
Random Matrix-Improved Kernels For Large Dimensional Spectral Clustering
Aircraft bearing estimation using underwater acoustic sensors
Beyond ℓ1-norm minimization for sparse signal recovery
Independent Vector Analysis Based MIMO Deconvolution: Exploiting Spatial Diversity Through Back Projection
Fast Adaptive Cross Tubal Tensor Approximation
3GPP New Radio Precoding in NGSO Satellites: Channel Prediction and Dynamic Resource Allocation
Diffusion estimation of mixture models with local and global parameters
Spatio-temporal Super-Resolution of Thermal Image Sequences through Kalman Filtering and Smoothing
A stochastic geometric approach to sensor array processing
Tensor Chain Decomposition and Function Interpolation
Sliding Window Based Linear Signal Detection Using 1-Bit Quantization and Oversampling for Large-Scale Multiple-Antenna Systems
Robust Adaptive Power Allocation for the Downlink of Multiple-Antenna Systems
Regularized joint density estimation for multi-instance learning
A mixture of experts based discretization approach for characterizing subsurface contaminant source zones
Robust model order selection for ARMA models based on the bounded innovation propagation τ-estimator
Muscle activity detection from myoelectric signals based on the AR-GARCH model
Sticky proposal densities for adaptive MCMC methods
Sequential MCMC With The Discrete Bouncy Particle Sampler
Generalized integration techniques for high-sensitivity GNSS receivers affected by oscillator phase noise
Waveform scheduling via directed information in cognitive radar
Accelerated parallel magnetic resonance imaging reconstruction using joint estimation with a sparse signal model
Extended Upscale and Downscale Representation with Cascade Arrangement
Quantification of Exogenous Drivers' Impact on System Dynamics
Classification of Local Field Potentials using Gaussian Sequence Model
Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model
Movement detecting using BiRNN based on the sub-carrier correlation and the temporal auto-correlation in Wi-Fi single CSI streaming
In a One-Bit Rush: Low-Latency Wireless Spectrum Monitoring With Binary Sensor Arrays
Advancing Passive Localization via beamsteering in Near-Field ISAC Systems
Subspace detection of high-dimensional vectors using compressive sampling
A new approach for solving anti-jamming games in stochastic scenarios as pursuit-evasion games
Estimating period from sparse, noisy timing data
Non-Parametric Bayesian Inference for Change Point Detection in Neural Spike Trains
Generating Mimo Channels for 6G Virtual Worlds Using Ray-Tracing Simulations
Smart Device Localization under Generic α-κ-µ Shadowed Fading IoT Environment using Signed Gradient Method
Continuous Phase Modulation With 1-Bit Quantization Using Adaptive Oversampling
Multi-Objective Continuous Sensor Scheduling for Long Horizon Path Planning
Which Uncertainty Quantification Method in Deep Learning Models for Knee Osteoarthritis Diagnosis?