yusuke1997/dblp-id-title huggingface dataset:
AutoEncoder-based Feature Ranking for Predicting Mild Cognitive Impairment Conversion using FDG-PET Images
Multi-sensor networked state estimation with delayed and irregularly-spaced observations
Fast Port Selection using Temporal and Spatial Correlation for Fluid Antenna Systems
Pose estimation of cyclic movement using inertial sensor data
Efficient Hardware Acceleration of QR Decomposition via In-Memory Computing for Signal Processing Applications
Robust Probabilistic Simplex Component Analysis
Channel-Optimized Strategic Quantizer Design via Dynamic Programming
Phase retrieval using the Hessian operator
Exact recovery of low-rank plus compressed sparse matrices
Audio signal interpolation using optimal transportation of spectrograms
Sparse FIR estimation of low-order systems
Improved Polynomial MUSIC Algorithm for Low-Complexity and High-Accuracy Broadband Angle of Arrival Estimation
The impact of unknown extra parameters on scatter matrix estimation and detection performance in complex t-distributed data
Multimodal metric learning with local CCA
Preprocessing for classification of sparse data: Application to trajectory recognition
Analog distributed coding of correlated sources for fading multiple access channels
An approximation algorithm for future wind scenarios
Hierarchical Sparsity Within And Across Overlapping Groups
Graph Force Learning from EEG Signals for Mental Workload Classification
Developing Real-time Automatic Step Detection On A Low-Cost, Performance-Constrained Microcontroller
Cortical distribution of N400 potential in response to semantic priming with visual non-linguistic stimuli
Automatic Quantification of Lung Infection Severity in Chest X-ray Images
Quasi-Equiangular Frames (QEFS): A new flexible configuration of frames
Distributed Wiener-Based Reconstruction of Graph Signals
Machine Learning Methods for Neonatal Heart Rate Prediction using Respiratory Signals
The Perturbed Prox-Preconditioned Spider Algorithm for EM-Based Large Scale Learning
A finite moving average test for transient change detection in GNSS signal strength monitoring
Bayesian Learning for Regression Using Dirichlet Prior Distributions of Varying Localization
Parametric Channel Estimation for Massive MIMO
Correlation-aware techniques for sparse support recovery
WALD-Kernel: A method for learning sequential detectors
Non-line-of-sight localization using low-rank + sparse matrix decomposition
Finite sample performance of least squares estimation in sub-Gaussian noise
Why Can Wiener-Hopf Reach Accurate Solutions With Poor Statistical Estimates?
Selective Cramér-Rao Bound For Estimation After Model Selection
Robust Formulation for Solving Underdetermined Random Linear System of Equations Via Admm
Reconstruction of brain activity in EEG/MEG using reduced-rank nulling spatial filter
Estimating Continuous Blood Pressure from Photoplethysmogram Signals for Non-invasive Devices by Convolutional Neural Network
Time and covariance smoothing for restoration of bivariate signals
On the CRB for frequency estimation of superimposed multidimensional sinusoids
Parallel Block Particle Filtering
Multipath Mitigation in Global Navigation Satellite Systems Using a Bayesian Hierarchical Model With Bernoulli Laplacian Priors
Exploring the Potential of VAE Decoders for Enhanced Speech Re-Synthesis
Data-Driven Symbol Detection Via Model-Based Machine Learning
A Probabilistic Approach for Heart Rate Variability Analysis Using Explicit Duration Hidden Markov Models
Integrated Sensing and Communication in Coordinated Cellular Networks
Dynamic network summarization using convex optimization
Nonparametric estimation of a shot-noise process
Misspecified Bayesian Cramér-Rao Bound for Sparse Bayesian
Mapping Scalp to Intracranial EEG using Generative Adversarial Networks for Automatically Detecting Interictal Epileptiform Discharges
How valid is the regularly-spaced grid assumption in RSS source localization sensor networks?
Affine estimation via region expansion
On hard limits of eigen-analysis based planted clique detection
Rare-event simulation for radar threshold estimation in heavy-tailed sea clutter
A wavelet clustering technique for the identification of functionally connected regions in the rat brain using resting state fMRI
Sleep Apnea Patient Monitoring Using Continuous-wave Radar
The density of Costas arrays and three-free permutations
Improving separating function estimation tests using Bayesian approaches
Overcoming noise, avoiding curvature: Optimal scale selection for tangent plane recovery
On Approximate Nonlinear Gaussian Message Passing on Factor Graphs
Deep Learning Based Range and Doa Estimation using low Resolution FMCW Radars
Comparison of Gaussian process models for single-trial event-related potentials
Base calling error rates in next-generation DNA sequencing
Blind Sparse Recovery Using Imperfect Sensor Networks
A Two-Stage Approach to Robust Tensor Decomposition
Stochastic Activation based Broadcast Push-Sum for Distributed Estimation
Robust shrinkage M-estimators of large covariance matrices
Detection in multiple channels having unequal noise power
Parameter Estimation in a Gibbs-Markov Field Texture Model Based on a Coding Approach
A Convolutional Neural Network Model for Privacy-Sensitive Ultra-Wideband Radar-Based Human Static Posture Classification and Fall Detection
Convergence Guarantees for Unmixing PSFs over a Manifold with Non-Convex Optimization
Shape Parameter Estimation for K-Distribution Using Variational Bayesian Approach
Multiplicative regression via constrained least squares
Physical Characteristics Estimation for Irregularly Shaped Fruit Using Two Cameras
A heuristic Bayesian design criterion for imaging resolution enhancement
Data Clustering Using Matrix Factorization Techniques for Wireless Propagation Map Reconstruction
A Single Satellite Geolocation Solution of an RF Emitter Using a Constrained Unscented Kalman Filter
Simultaneous channel estimation and joint time-frequency domain crosstalk cancellation in multichannel personal audio systems
Relaying Communications in Cognitive Radio Networks with Energy Scavenging and Artificial Noise: Reliability-Security Trade-off Analysis
Time-frequency clustering with weighted and contextual information for convolutive blind source separation
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks
Precise Vehicle Positioning by Cooperative Feature Association and Tracking in Vehicular Networks
Stochastic Fista Algorithms: So Fast ?
Wavelet Domain Bootstrap for Testing the Equality of Bivariate Self-Similarity Exponents
Online Learning Network Methods for a Joint Transmit Waveform and Receive Beamforming Design for a DFRC System
A Cooperative Jamming Scheme for Physical Layer Security enhancement in Multihop IoT Networks with Colluding Eavesdroppers
A widely linear multichannel wiener filter for wind prediction
DQN-based Joint Adaptive Beamwidth Control and Beam Tracking for mmWave Communications
Velocity ambiguity mitigation of off-grid range migrating targets via Bayesian sparse recovery
Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution
Studies of optimal memory for discrete-time fir filters in state-space
Improved rare methods for DOA estimation in uniform circular arrays with unknown mutual coupling
Multilinear singular value decomposition of a tensor with fibers observed along one mode *
Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery
Probabilistic reasoning for streaming anomaly detection
Spectra of Variance-Stabilized Correlated Noise: Modeling and Efficient Computation
C-RAN-Based Cluster-Head-Driven UAV Relaying, with Recursive Maximum Minimum Distance Criterion
Weakly Supervised Learning of Multiple-Scale Dictionaries
Fast OMP: Reformulating OMP via iteratively refining ℓ2-norm solutions
Reverberant speech separation based on audio-visual dictionary learning and binaural cues
Efficient batch-mode active learning of random forest
Weight sharing for single-channel LMS
Efficient low-rank spectrotemporal decomposition using ADMM
Quantifying Hardware Related Attenuation from the Analysis of Nearby Microwave Links
Of the largest eigenvalue for modularity-based partitioning
Active odor cancellation
Joint Sensing Matrix Design And Recovery Based On Normalized Iterative Hard Thesholding for Sparse Systems
Automatic diagonal loading for Tyler's robust covariance estimator
Linear Computation Coding for Convolutional Neural Networks
Comparison of Short Blocklength Slepian-Wolf Coding for Key Reconciliation
Decision trees for heterogeneous dose-response signal analysis
Prediction in the Presence of Response-Dependent Missing Labels
One-Bit Massive MIMO Precoding for Frequency-Selective Fading Channels
Limitations of Decision Based Pile-Up Correction Algorithms
Adaptive EM-Based Algorithm for Cooperative Spectrum Sensing in Mobile Environments
Stable Retrieval for Unlimited Sampling via Adaptive Local Representations
Constant Modulus Beamforming Via Low-Rank Approximation
Plug-and-Play Posterior Sampling for Blind Inverse Problems
Multi-Channel Estimation of Devices with Preamble Collision in Distributed MTC
Sparse Bayesian Learning for Directions of Arrival on an FPGA
Elevation and azimuth estimation in arbitrary planar mono-static MIMO radar via tensor decomposition
Cardiac and Respiratory Sensing from a Hovering UAV Radar Platform
A novel feature extraction technique for human activity recognition
A robust estimation approach for fitting a PARMA model to real data
Multicomponent signal denoising with synchrosqueezing
iR6mA-RNN: Identifying N6-Methyladenosine Sites in Eukaryotic Transcriptomes using Recurrent Neural Networks and Sequence-embedded Features
New statistic in P-value estimation for anomaly detection
Classification of EEG recordings without perfectly time-locked events
Multiple target tracking in the fully adaptive radar framework
Globally Convergent Algorithms for Learning Multivariate Generalized Gaussian Distributions
Identifying rumor sources with different start times
An ℓ 1 -Penalization Of Adaptive Normalized Quasi-Newton Algorithm For Sparsity-Aware Generalized Eigenvector Estimation
Mean square error performance of sample mean and sample median estimators
Time-Instance Zero-Crossing Precoding with Quality-of-Service Constraints
Estimating signals over graphs via multi-kernel learning
A Semantics-Aware Communication Scheme to Estimate the Empirical Measure of A Quantity of Interest Via Multiple Access Fading Channels
Weiss-Weinstein bound for an abrupt unknown frequency change
Sampling from a multivariate Gaussian distribution truncated on a simplex: A review
A Bayesian Approach for 3D Guided Video Super-Resolution of Single-Photon Lidar Data
Complexity-adaptive universal signal estimation for compressed sensing
Neural Enhanced Belief Propagation for Cooperative Localization
Jeffrey's Divergence Between Fractionally Integrated White Noises
Time reversal MIMO radar for angle-Doppler estimation
A Subsampling-Based Method for Causal Discovery on Discrete Data
Rectified Attention Gate Unit in Recurrent Neural Networks for Effective Attention Computation
Density-based isolation forest
Translation invariant DWT based denoising using goodness of fit test
MATRIX ALPS: Accelerated low rank and sparse matrix reconstruction
Graph-wavelet filterbanks for edge-aware image processing
Robust Capon Beamformer with frequency Smoothing applied to medical ultrasound imaging
On Convergence Analysis of Gradient Based Primal-Dual Method of Multipliers
Bayesian calibration of the Schwartz-Smith Model adapted to the energy market
Exploring Undermodeling in Combinations of Adaptive Filters
Change Detection in The Covariance Structure of High-Dimensional Gaussian Low-Rank Models
Measure transformed quasi likelihood ratio test for Bayesian binary hypothesis testing
A Hawkes' eye view of network information flow
EM algorithm for estimating poisson measurement noise
Autonomous information driven search for a diffusive source in an unknown structured environment
Estimating Weak DOA Signals Using Adaptive Grid Selection
Occupancy Grid Mapping for Personal Radar Applications
A new non-redundant complex Hilbert wavelet transforms
Invariance of the distributions of normalized Gram matrices
Sampling Rate Offset Estimation in Acoustic Sensor Networks
Secure estimation against complex-valued attacks
Sparse Reduced Rank Regression with Nonconvex Regularization
Learning Directed Graphs From Data Under Structural Constraints
Online angle of arrival estimation in the presence of mutual coupling
Deconvolution of Irregularly Subsampled Images
A two-stage denoising filter: The preprocessed Yaroslavsky filter
Accelerated time-of-flight mass spectrometry
Estimation of posterior distributions with population Monte Carlo sampling and graphical modeling
One-Bit Direct Position Determination of Narrowband Gaussian Signals
Group-sparse subspace clustering with missing data
EEG signal classification with super-Dirichlet mixture model
Differentiable short-time Fourier transform with respect to the hop length
One-class machines based on the coherence criterion
A Feature Subset Selection Approach For Predicting Smoking Behaviours
Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets
Minimum mean square error equalization on the 2-sphere
Adaptive filtering for lightning electric field (LEF) signals in fractional Fourier domain
The Geometry of Coherence and Its Application to Cyclostationary Time Series
Social signal processing for pain monitoring using a hidden conditional random field
Block-Sparse Signal Recovery From Binary Measurements
A gossip-based distributed processing algorithm for multiple transmitter localization
AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results
Training performance of echo state neural networks
ℓ1-norm based nonparametric and semiparametric approaches for robust spectral analysis
Signal reconstruction for multi-source variable-rate samples with autocorrelated errors in variables
In-context Cross-Density Adaptation on Noisy Mammogram Abnormalities Detection
Bayesian Compressed Sensing-Based Hybrid Models for Stock Price Forecasting
Sequential Monte Carlo methods under model uncertainty
Distributed Sparse Optimization With Minimax Concave Regularization
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes
Use of particle filtering and MCMC for inference in Probabilistic Acoustic Tube model
Dimensionality reduction of sample covariance matrices by graph fourier transform for motor imagery brain-machine interface
Online learning and pricing for demand response in smart distribution networks
A Plug-and-Play Approach for Point Cloud Registration
Statistical analysis and optimization of FFR/SFR-aided OFDMA-based multi-cellular networks
Covariance-Corrected Diffusion Models for Solving Inverse Problems
Distortion Approximation of a Compressed Softmax Layer
Control and data traffic isolation in SDWSN using IEEE 802.15.4e TSCH
Distributed Expectation Propagation for Multi-Object Tracking over Sensor Networks
Loss characterization of distributed space-time transmit beamforming with embedded channel probing
Multi-GPU distributed PnP-ULA for high-dimensional imaging inverse problems
Sparse High-Dimensional Matrix-Valued Graphical Model Learning from Dependent Data
Synchronization for classical blind source separation algorithms in wireless acoustic sensor networks
Compressive LADAR in realistic environments
Time-domain impulse injection method for crest factor reduction of OFDM signals
A Low-Complexity Sub-Nyquist Blind Signal Detection Algorithm For Cognitive Radio
A Speech Distortion Weighted Single-Channel Wiener Filter Based STFT-Domain Noise Reduction
A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing
Deep Stochastic Optimization for Algorithm-Specific Pilot Design in Massive MIMO
Efficient Sparse Reduced-Rank Regression With Covariance Estimation
Performance of a hybrid non-contiguous planar array: effect of phase shifter quantization
Hierarchical Clustering based Multiple Particle Filtering for Data Assimilation
Revisiting Semi-Blind Block-Term Decomposition-Based Receivers for Uniform Rectangular Arrays
Multiple Target Tracking With Uncertain Sensor State Applied To Autonomous Vehicle Data
Off-Grid Radar Target Detection with the Normalized Matched Filter: A Monopulse-Based Detection Scheme
Subspace Averaging for Source Enumeration in Large Arrays
Cross Density Kernel for Nonstationary Signal Processing
Optimal classifiers within a Bayesian framework
On sparse recovery using finite Gaussian matrices: Rip-based analysis
Cooperative sensor localisation in distributed fusion networks by exploiting non-cooperative targets
PDIWS: Thermal Imaging Dataset for Person Detection in Intrusion Warning Systems
Outage constrained secrecy rate maximization using cooperative jamming
Robust Semi-Variance Downside Risk Portfolio Problems: A Convex Optimization Approach
Audio Classification Based on Weakly Labeled Data
Learning to infer: A new variational inference approach for power grid topology identification
Estimation Of Spatial Fields Of Nlos/Los Conditions For Improved Localization In Indoor Environments
Localization and bearing estimation via structured sparsity models
Compressed sensing for MIMO radar: A stochastic perspective
Quickest Detection of Stochastic False Data Injection Attacks with Unknown Parameters
Deep Unrolled Architecture for Fast and Accurate Gaussian Independent Vector Analysis
MIMO broadcast DFE transceiver design with bit allocation under QoS constraints
Synthetic-data-driven Plug-and-Play method for inverse problems on bivariate signals
Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
Improved Robust PCA using low-rank denoising with optimal singular value shrinkage
Acoustic Echo Cancellation During Doubletalk Using Convolutive Blind Source Separation of Signals Having Temporal Dependence
A combined approach to multi-label multi-task learning
Feeder-level fault detection and classification with multiple sensors: A smart grid scenario
On the efficiency of an autonomous cyclic motion grading system
Regularized Lattice Reduction-Aided Ordered Successive Interference Cancellation for MIMO Detection
Reduced-Complexity Greedy Distributed Information Bottleneck Algorithm
Learning Measurement Models via Subspace Identification and Clustering
Charrelation-based estimation of the parameters of non-Gaussian autoregressive processes
Radio-Map-Based UAV Placement Design for UAV-Assisted Relaying Networks
Parameter estimation techniques for polynomial phase and phase coded waveforms in multi-channel systems
A New Approach to Signal Processing of Spatiotemporal Data
Sparse error correction with multiple measurement vectors
New Normalised Bayesian smoothers for signals modelled by non-causal compositions of reciprocal chains
Analytical characterization of the MPDR-based power estimators in snapshot scarce regime
Knowledge Distillation for Wireless Edge Learning
Multi-Branch Binary Modulation Sequences For Interferer Rejection
Boosting quantization for Lp norm distortion measure
Design of data-injection adversarial attacks against spatial field detectors
OTFS-IM channel estimation and data detection algorithm with a superimposed pilot pattern
Stochastic Mixing and Differential Privacy in Utility-Preserving Data Anonymization
On the statistical performance of music for distributed sources
Performance Analysis and Deep Learning Evaluation of URLLC Full-Duplex Energy Harvesting IoT Networks over Nakagami-m Fading Channels
Optimized preprocessing and Tiny ML for Attention State Classification
Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems
Adaptive experimental design for drug combinations
Channel-aware M-ary distributed detection: Optimal and suboptimal fusion rules
Diffusion-Based Bayesian Cluster Enumeration in Distributed Sensor Networks
Passive Sonar Classification using Spectral Features
Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm
An Adaptive Learning Approach To Parameter Estimation For Hybrid Petri Nets In Systems Biology
Source Localization for Constant Modulus Signals Using a Structured Matrix Recovery Technique (SMART)
Continuous-time distributed estimation with asymmetric mixing
Fast tests for the common causality of time-of-arrival events from their mutual Minkowski distances
Two-Qubit Unitary Quantum Process Tomography by Multiple-Delay Output Measurements for One Unknown Input Pure State Value
Generalising Covariance Intersection for multiple posterior densities in multi-sensor fusion
Estimation and compensation of I/Q imbalance for FMCW radar receivers
Seti Detection Strategies for Single Dish Radio Telescopes
Leveraging Audio-Tagging Assisted Sound Event Detection using Weakified Strong Labels and Frequency Dynamic Convolutions
Quantized Constant Envelope Precoding for Frequency Selective Channels
Acoustic Feedback Cancellation using the Variable Step Size Affine Projection Tanh Algorithm
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G And Beyond
Semantic Communication for Partial Observation Multi-agent Reinforcement Learning
Optimal Portfolio Design for Statistical Arbitrage in Finance
A Unified Framework of Third Order Time and Frequency Domain Analysis for Neural Spike Trains
Designing classifier architectures using information theory
Optimal SIMO MLSE receivers for the detection of linear modulation corrupted by noncircular interference
Optimal Allocation of Auxiliary Designated Sensor for Opportunistic Rain Field Reconstruction
Hyperspherical phase synchrony for quantifying multivariate phase synchronization
Sequential Bayesian estimation with censored data
Denoising and Super-Resolution of Satellite Lidars Using Diffusion Generative Models
A Group Invariance Approach to a Very Weak LFM Signal Detection
IEEE Statistical Signal Processing Workshop, SSP 2012, Ann Arbor, MI, USA, August 5-8, 2012
Iterative MMSE Precoding and Power Allocation in Cell-Free Massive MIMO Systems
Security of (n, n)-threshold audio secret sharing schemes encrypting audio secrets
Canonical Correlation Analysis with Common Graph Priors
ConUAD: Combating Noisy Data through Selective Contrastive Learning for Unsupervised Acoustic Anomaly Detection
Robust prior-based Direction of Arrival estimation
Deep Q-Network-Based Adaptive Noise Covariance Estimation for Kalman Filter Tuning
Fast convergent algorithms for multi-kernel regression
Markov-tree Bayesian group-sparse modeling with wavelets
Genomic transcription regulatory element location analysis via poisson weighted lasso
Prediction of Shock Formation From Boundary Measurements
Sparse recovery on sphere via probabilistic compressed sensing
Optimal transport vs. Fisher-Rao distance between copulas for clustering multivariate time series
On The Statistical Properties Of The Generalized Discrete Teager-Kaiser Energy Operator Applied To Uniformly Distributed Random Signals
Sequentially designed compressed sensing
Random Jitter Beamforming for point-and-link communications
Polynomial Procrustes Solution for Randomly Perturbed Near-Paraunitary Systems
The role of Organizational Change in Green IS: Integrating Sustainability in Projects
A Framework to Assess the Critical Success Factors for Cloud Enterprise Resource Planning Adoption in Small and Medium-sized Enterprises
Characterising e-Participation in sub-Saharan Africa: A thematic review of the literature
Deep Learning on Abnormal Chromosome Segments: An Intelligent Copy Number Variants Detection System Design
Triandis' Theoretical Framework as a Theoretical Foundation for User Behavior Testing in Information Systems Use and Acceptance Research
Technological Mapping of the Photovoltaic Solar Energy Industry by Patent Documents Deposited in Brazil
Using Six Sigma for Continuous Improvement of Asset Management Information Quality
The Use of Cloud Computing by Small Service Business in Canada: An Exploratory Study
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