yusuke1997/dblp-id-title huggingface dataset:
On the Expanded Region of Picocells in Heterogeneous Networks
Rate-Splitting Multiple Access for Multi-Antenna Joint Radar and Communications
Distributed Pareto Optimization via Diffusion Strategies
Power System State Estimation Under Model Uncertainty
Front-End for Antispoofing Countermeasures in Speaker Verification: Scattering Spectral Decomposition
Signal-to-Interference-Plus-Noise Ratio Analysis for Direct-Sequence Ultra-Wideband Systems in Generalized Saleh-Valenzuela Channels
A Local 3-D Motion Descriptor for Multi-View Human Action Recognition from 4-D Spatio-Temporal Interest Points
Raking the Cocktail Party
IEEE Journal of Selected Topics in Signal Processing Inaugural Issue: [editor-in-chief's message]
Data Augmentation for Predictive Digital Twin Channel: Learning Multi-Domain Correlations by Convolutional TimeGAN
Tensor Decomposition Learning for Compression of Multidimensional Signals
Optimal Subsidies for Shared Small Cell Networks - A Social Network Perspective
Detection of SARS-CoV-2 in COVID-19 Patient Nasal Swab Samples Using Signal Processing
Non-Asymptotic Analysis of an Optimal Algorithm for Network-Constrained Averaging With Noisy Links
Effects of Phasor Measurement Uncertainty on Power Line Outage Detection
Signal Processing and Learning for Next Generation Multiple Access in 6G
Convolutive-Error-Measure Analysis for Inverse Filtering and Minimum Total-Model-Order Determination Subject to Positive-Definiteness
Unsupervised Training of Denoisers for Low-Dose CT Reconstruction Without Full-Dose Ground Truth
Soundprism: An Online System for Score-Informed Source Separation of Music Audio
Averting Cascading Failures in Networked Infrastructures: Poset-Constrained Graph Algorithms
DRED: Deep REDundancy Coding of Speech Using a Rate-Distortion-Optimized Variational Autoencoder
Exploiting Non-Local Correlation via Signal-Dependent Transform (SDT)
Low-Complexity Joint Radar-Communication Beamforming: From Optimization to Deep Unfolding
Probing Layer-Wise Self-Supervised Representations for Low-Resource Spoken Language Identification
Learning Ancestral Atom via Sparse Coding
End-to-End Multimodal Emotion Recognition Using Deep Neural Networks
Distributed Distortion-Aware Beamforming Designs for Cell-Free mMIMO Systems
Managing Your Private and Public Data: Bringing Down Inference Attacks Against Your Privacy
Nonlinear Transform Coding
A Deep Primal-Dual Proximal Network for Image Restoration
Continuous-Time Distributed Observers With Discrete Communication
Optimal Myopic Policy for Restless Bandit: A Perspective of Eigendecomposition
Performance Tradeoffs Among Adaptive Beamforming Criteria
An Overview of Low-Rank Matrix Recovery From Incomplete Observations
Achieving Undetectable Communication
Models for Static and Dynamic Texture Synthesis in Image and Video Compression
A Hardware-Efficient Analog Network Structure for Hybrid Precoding in Millimeter Wave Systems
LTT-GAN: Looking Through Turbulence by Inverting GANs
Characterization of 3-D Volumetric Probabilistic Scenes for Object Recognition
Histogram-PMHT Unfettered
Bayesian Learning for Double-RIS Aided ISAC Systems With Superimposed Pilots and Data
Convex Conic Formulations of Robust Downlink Precoder Designs With Quality of Service Constraints
Electricity Market Forecasting via Low-Rank Multi-Kernel Learning
Compressive Sensing Based High-Resolution Channel Estimation for OFDM System
Intelligent Reflecting Surface Aided Multi-Tier Hybrid Computing
Smart Media Striping Over Multiple Burst-Loss Channels
Distributed Channel Estimation and Optimization for 6D Movable Antenna: Unveiling Directional Sparsity
Towards Overfitting Avoidance: Tuning-Free Tensor-Aided Multi-User Channel Estimation for 3D Massive MIMO Communications
Pain Level and Pain-Related Behaviour Classification Using GRU-Based Sparsely-Connected RNNs
Achieving Pareto-Optimal MI-Based Privacy-Utility Tradeoffs Under Full Data
Rooting our Rumor Sources in Online Social Networks: The Value of Diversity From Multiple Observations
NeaSource Localization and Beamforming in the Spherical Sector Harmonics Domain
On the Detection of Direct Directed Information Flow in fMRI
A New Weighted Fuzzy C-Means Clustering Algorithm for Remotely Sensed Image Classification
Sub-Pixel Mapping Based on Conditional Random Fields for Hyperspectral Remote Sensing Imagery
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability
Tensor Nuclear Norm-Based Low-Rank Approximation With Total Variation Regularization
Fast and Flexible Large Graph Embedding Based on Anchors
Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets
On-Line Multi-View Video Summarization for Wireless Video Sensor Network
Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks
GACELA: A Generative Adversarial Context Encoder for Long Audio Inpainting of Music
Incorporating Distributed DRL Into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network
Hybrid U-Net With ResNet Iris Segmentation Method for Occlusion by Eyelids and Eyelash in Iris Recognition
Mean-Field PHD Filters Based on Generalized Feynman-Kac Flow
Enhance Neighbor Reversibility in Subspace Learning for Image Retrieval
Editorial Introduction to the Special Issue on Biometrics at a Distance in the Deep Learning Era
Learning Discriminative Sparse Representations for Hyperspectral Image Classification
Attentive Deep Stitching and Quality Assessment for 360° Omnidirectional Images
Learning of Perceptual Similarity From Expert Readers for Mammogram Retrieval
A Multi-Stream Recurrent Neural Network for Social Role Detection in Multiparty Interactions
Private 5G Networks: Concepts, Architectures, and Research Landscape
Transcribing Multi-Instrument Polyphonic Music With Hierarchical Eigeninstruments
Joint Optimization for Traffic-Offloading and Resource-Allocation Over RF-Powered Backscatter Mobile Wireless Networks
Direct Speech-to-Image Translation
Lightweight Tensor Attention-Driven ConvLSTM Neural Network for Hyperspectral Image Classification
Fixed and Floating-Point Implementations of Linear Adaptive Techniques for Predicting Physiological Hand Tremor in Microsurgery
Topological Persistence of the Neural Embedding of the Archetypal Subspace
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks
Fast Robust PCA on Graphs
Deep Multimodal Subspace Clustering Networks
Reduced-Reference Image Quality Assessment Using Divisive Normalization-Based Image Representation
Multi-Sources Fusion Learning for Multi-Points NLOS Localization in OFDM System
Rendering 3-D High Dynamic Range Images: Subjective Evaluation of Tone-Mapping Methods and Preferred 3-D Image Attributes
Multiple-Input Multiple-Output Radar for Lesion Classification in Ultrawideband Breast Imaging
Joint Doppler Frequency and Direction of Arrival Estimation for TDM MIMO Automotive Radars
Circulant Binary Convolutional Networks for Object Recognition
Inter-Frame Information Transfer Via Projection Onto Convex Set for Video Deblurring
Completely Contactless and Online Finger Knuckle Identification for Real World Applications
Cardiac MRI Segmentation With a Dilated CNN Incorporating Domain-Specific Constraints
Psychophysiology-Based QoE Assessment: A Survey
Low RCS Target Tracking in Estimated Rapidly Varying Sea Clutter Using a Kronecker Product Approximation Algorithm
Introduction to the Issue on Managing Complexity in Multiuser MIMO Systems
Detection of Anomalous Trajectory Patterns in Target Tracking via Stochastic Context-Free Grammars and Reciprocal Process Models
Statistical Inference in PCA for Hyperspectral Images
Robust Single-Bit Direction-of-Arrival Estimation With Magnitude Recovery
A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs
Evolutionary Self-Expressive Models for Subspace Clustering
Greedy Motion Planning for Simultaneous Signal Landscape Mapping and Receiver Localization
Significance of Source-Filter Interaction for Classification of Natural vs. Spoofed Speech
Congestion, Information, and Secret Information in Flow Networks
An Informed Multitask Diffusion Adaptation Approach to Study Tremor in Parkinson's Disease
Self-Supervised Graphs for Audio Representation Learning With Limited Labeled Data
Community Detection With Side Information: Exact Recovery Under the Stochastic Block Model
Matched-Illumination Waveform Design for a Multistatic Through-the-Wall Radar System
Quality-Control Algorithm for Adaptive Streaming Services Over Wireless Channels
Resource-Efficient Deep Neural Networks for Automotive Radar Interference Mitigation
Capacity of Sparse Multipath Channels in the Ultra-Wideband Regime
Fundamental Imaging Limits of Radio Telescope Arrays
Introduction to the Issue on Soft Detection for Wireless Transmission
Measuring Training Variability From Stochastic Optimization Using Robust Nonparametric Testing
Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification
TeleMorph: A Fuzzy Logic Approach to Network-Aware Transmoding in Mobile Intelligent Multimedia Presentation Systems
Design and Analysis of Invariant Receivers for Gaussian Targets
Ambiguity Function and Frame-Theoretic Properties of Periodic Zero-Autocorrelation Waveforms
Simultaneous Target and Multipath Positioning
An Adaptive Image Thresholding Algorithm Using Fuzzy Logic for Autonomous Underwater Vehicle Navigation
A Belief Propagation Approach to Privacy-Preserving Item-Based Collaborative Filtering
Generalized Superimposed Training Scheme in IRS-Assisted Cell-Free Massive MIMO Systems
The Segmental Bayesian Information Criterion and Its Applications to Speaker Diarization
VR+HD: Video Semantic Reconstruction From Spatio-Temporal Scene Graphs
Graph Signal Recovery via Primal-Dual Algorithms for Total Variation Minimization
One-Bit Direction-of-Arrival Estimation via AdaBoost
Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control
Universal Speech Token Learning via Low-Bitrate Neural Codec and Pretrained Representations
Dynamic Updating for ell 1 Minimization
Extraction of Task-Related Activation From Multi-Echo BOLD fMRI
Robust Multinomial Logistic Regression Based on RPCA
Differential Chaos Shift Keying-Based Wireless Power Transfer With Nonlinearities
Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication
ESQFL: Digital Twin-Driven Explainable and Secured Quantum Federated Learning for Voltage Stability Assessment in Smart Grids
Introduction to the Issue on Signal and Information Processing for Critical Infrastructures
Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search Are Related
Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming
The Random Frequency Diverse Array: A New Antenna Structure for Uncoupled Direction-Range Indication in Active Sensing
Video Quality Assessment on Mobile Devices: Subjective, Behavioral and Objective Studies
Sharing in Networks of Strategic Agents
Deep Learning for RF Device Fingerprinting in Cognitive Communication Networks
Identifiability of Kronecker-Structured Dictionaries for Tensor Data
Gridless Channel Estimation for Hybrid mmWave MIMO Systems via Tensor-ESPRIT Algorithms in DFT Beamspace
Reservoir Computing for Prediction of the Spatially-Variant Point Spread Function
Cooperative Robotics Visible Light Positioning: An Intelligent Compressed Sensing and GAN-Enabled Framework
A Fixed-Complexity Smart Candidate Adding Algorithm for Soft-Output MIMO Detection
Privacy or Utility in Data Collection? A Contract Theoretic Approach
Dynamic Pricing and Queue Stability in Wireless Random Access Games
An Efficient RGB-D Indoor Scene-Parsing Solution via Lightweight Multiflow Intersection and Knowledge Distillation
Efficient Operator for Local Energy Measurements to Enhance an Image Signal
Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training With Memory
Editorial: Introduction to the Issue on Joint Communication and Radar Sensing for Emerging Applications
Constrained Optimization With Low-Bit Gradients: A Dynamical Systems Perspective
FD-MIMO via Pilot-Data Superposition: Tensor-Based DOA Estimation and System Performance
Unveiling Interpretability in Self-Supervised Speech Representations for Parkinson's Diagnosis
Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface Under Imperfect CSI
Noncausal Adaptive Spatial Clutter Mitigation in Monostatic MIMO Radar: Fundamental Limitations
A Gossip Method for Optimal Consensus on a Binary State From Binary Actions
The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation
Light Field Image Processing: An Overview
Exploring Overcomplete Representations for Single Image Deraining Using CNNs
A Multiple Hypothesis Tracker for Multitarget Tracking With Multiple Simultaneous Measurements
Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding
Intrinsically Multivariate Predictive Genes
Criteria to Improve Time-Delay Estimation of Spread Spectrum Signals in Satellite Positioning
Partially Supervised Neighbor Embedding for Example-Based Image Super-Resolution
Spoken Term Detection Automatically Adjusted for a Given Threshold
Top-K Rank Aggregation From M-Wise Comparisons
Trellis Shaping for Controlling Envelope of Single-Carrier High-Order QAM Signals
Superrays for Efficient Light Field Processing
Bayesian User Localization and Tracking for Reconfigurable Intelligent Surface Aided MIMO Systems
Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks
Loss-Privacy Tradeoff in Federated Edge Learning
Tiny-BDN: An Efficient and Compact Barcode Detection Network
Performance of Four Subjective Video Quality Assessment Protocols and Impact of Different Rating Preprocessing and Analysis Methods
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations With Linear Couplings
Sparse Representation of a Spatial Sound Field in a Reverberant Environment
StatNet: Statistical Image Restoration for Low-Dose CT using Deep Learning
Introduction to the Issue on Perception Inspired Video Processing
Multi-Sensor Image Feature Fusion via Subspace-Based Approach Using $\ell _{1}$-Gradient Regularization
Privacy-Preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet
Beam Alignment in Multipath Environments for Integrated Sensing and Communication Using Bandit Learning
A Douglas-Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery
User Dynamics-Aware Edge Caching and Computing for Mobile Virtual Reality
Dynamic L1-Norm Tucker Tensor Decomposition
DFT-Based Hybrid Beamforming Multiuser Systems: Rate Analysis and Beam Selection
Naturalistic Dialogue Management for Noisy Speech Recognition
Seeing Beyond Foreground Occlusion: A Joint Framework for SAP-Based Scene Depth and Appearance Reconstruction
Digital Compensation of Dynamic Acquisition Errors at the Front-End of High-Performance A/D Converters
Human Pose Estimation and Activity Recognition From Multi-View Videos: Comparative Explorations of Recent Developments
Reliable Automatic Modulation Classification via Grayscale Spectral Quotient Constellation Matrix and Deep Learning Models
Joint Beamforming and Power Splitting for Wideband Millimeter Wave SWIPT Systems
A Game Theoretic Analysis of Incentives in Content Production and Sharing Over Peer-to-Peer Networks
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks
Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions
Measuring the Collective Potential of Populations From Dynamic Social Interaction Data
Image Recovery Via Hybrid Sparse Representations: A Deterministic Annealing Approach
Modeling and Mitigation of Narrowband Interference for Transmitted-Reference UWB Systems
Decentralized DNN Task Partitioning and Offloading Control in MEC Systems With Energy Harvesting Devices
Robust Calibration of an Improved Delta-Sigma Data Converter Using Convex Optimization
Performance Analysis of Time-Modulated Arrays for the Angle Diversity Reception of Digital Linear Modulated Signals
Joint Multi-User Communication and Sensing Exploiting Both Signal and Environment Sparsity
Energy Efficiency of mmWave Massive MIMO Precoding With Low-Resolution DACs
Comparison and Analysis of SampleCNN Architectures for Audio Classification
ViT-MDHGR: Cross-Day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding
Two-Pass Rate Control for Improved Quality of Experience in UHDTV Delivery
Hybrid CTC/Attention Architecture for End-to-End Speech Recognition
Editorial Introduction for the Special Issue on Intelligent Robotics: Sensing, Signal Processing and Interaction
Multiple-Antenna Interference Cancellation and Detection for Two Users Using Precoders
Saliency Prediction Network for 360° Videos
Seg-DGDNet: Segmentation Based Disguise Guided Dropout Network for Low Resolution Face Recognition
Did You Notice It? - How Can We Predict the Subjective Detection of Video Quality Changes From Eye Movements?
Corrections to "A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion"
Object Trajectory Estimation With Continuous-Time Neural Dynamic Learning of Millimeter-Wave Wi-Fi
Self-Supervised Language Learning From Raw Audio: Lessons From the Zero Resource Speech Challenge
FMCW Radar Network: Multiple Access and Interference Mitigation
Design of the Family of Orthogonal and Spectrally Efficient UWB Waveforms
Epidemic Source Detection in Contact Tracing Networks: Epidemic Centrality in Graphs and Message-Passing Algorithms
Distributed Lossless Coding Techniques for Hyperspectral Images
Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks
Image Reshaping for Efficient Compression of Plenoptic Content
RIS-Enabled SISO Localization Under User Mobility and Spatial-Wideband Effects
Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation
A Quality-of-Experience Index for Streaming Video
Constrained Bayesian Active Learning of Interference Channels in Cognitive Radio Networks
Bounded Confidence Opinion Dynamics in a Social Network of Bayesian Decision Makers
Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis
Unified Importance Sampling Schemes for Efficient Simulation of Outage Capacity Over Generalized Fading Channels
A Multimodal Interlocutor-Modulated Attentional BLSTM for Classifying Autism Subgroups During Clinical Interviews
Direction of Arrival Estimation for Reverberant Speech Based on Enhanced Decomposition of the Direct Sound
Editorial: Introduction to the Issue on Recent Advances in Automotive Radar Signal Processing
Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent
Introduction to the Issue on Signal Processing and Machine Learning
Transmit Power Control Policies for Energy Harvesting Sensors With Retransmissions
Dictionary Learning for Sparse Audio Inpainting
R-Bench: Are Your Large Multimodal Model Robust to Real-World Corruptions?
Potential Games for Energy-Efficient Power Control and Subcarrier Allocation in Uplink Multicell OFDMA Systems
Graph Frequency Analysis of Brain Signals
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
From the Calibration of a Light-Field Camera to Direct Plenoptic Odometry
Signal Detection on Euclidean Groups: Applications to DNA Bends, Robot Localization, and Optical Communication
An ESPRIT-Based Approach for 2-D Localization of Incoherently Distributed Sources in Massive MIMO Systems
Unified Architecture for Multichannel End-to-End Speech Recognition With Neural Beamforming
Order Estimation of Multivariate ARMA Models
Joint Code-Frequency Index Modulation for IoT and Multi-User Communications
Improved Subglottal Pressure Estimation From Neck-Surface Vibration in Healthy Speakers Producing Non-Modal Phonation
Introduction to the Issue on Advanced Signal Processing for Brain Networks
Multiscale Anomaly Detection Using Diffusion Maps
Reactance Perturbation for Detecting and Identifying FDI Attacks in Power System State Estimation
Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain
Cooling-Aware Energy and Workload Management in Data Centers via Stochastic Optimization
A Novel Joint RFID and Radar Sensor Network for Passive Localization: Design and Performance Bounds
Improved Robust Tensor Principal Component Analysis via Low-Rank Core Matrix
Online Convex Optimization in Dynamic Environments
A Transmission Protocol for a Cognitive Bidirectional Shared Relay System
Secrecy Capacity Scaling by Jamming-Aided Hierarchical Cooperation in Ad Hoc Networks
Successive Approximation Wavelet Coding of AVIRIS Hyperspectral Images
End-to-End ASR-Free Keyword Search From Speech
Perfect Match: Self-Supervised Embeddings for Cross-Modal Retrieval
Introduction to the Issue on MIMO-Optimized Transmission Systems for Delivering Data and Rich Content
Engineering Statistical Behaviors for Attacking and Defending Covert Channels
Programmable Weight Phased-Array Transmission for Secure Millimeter-Wave Wireless Communications
Quality Evaluation of Color Plus Depth Map-Based Stereoscopic Video
Tensor Decompositions in Wireless Communications and MIMO Radar
Augmentation of XNAV System to an Ultraviolet Sensor-Based Satellite Navigation System
PaLmTac: A Vision-Based Tactile Sensor Leveraging Distributed-Modality Design and Modal-Matching Recognition for Soft Hand Perception
Guest Editorial: Modeling and Processing Language and Speech in Neurodegenerative Disorders
Joint Model Selection and Parameter Estimation by Population Monte Carlo Simulation
Estimating the Number of Endmembers in Hyperspectral Images Using the Normal Compositional Model and a Hierarchical Bayesian Algorithm
Optimum MIMO-OFDM Detection With Pilot-Aided Channel State Information
Likelihood-Based Semi-Supervised Model Selection With Applications to Speech Processing
Pretext Tasks Selection for Multitask Self-Supervised Audio Representation Learning
Turbo-Type Message Passing Algorithms for Compressed Robust Principal Component Analysis
Cost and Coding Efficient Motion Estimation Design Considerations for High Efficiency Video Coding (HEVC) Standard
Gaussian Process Regression Stochastic Volatility Model for Financial Time Series
Transform Coding Techniques in HEVC
Spatio-Temporal Waveform Design for Multiuser Massive MIMO Downlink With 1-bit Receivers
Inter-Laboratory Round Robin HRTF Measurement Comparison
Performance Evaluation of the Consensus-Based Distributed Subgradient Method Under Random Communication Topologies
Image Feature Extraction in the Last Screening Mammograms Prior to Detection of Breast Cancer
Robust Independent Component Analysis via Minimum Gamma -Divergence Estimation
Panoramic Image Generation: From 2-D Sketch to Spherical Image
Spectral Efficiency Optimization For Millimeter Wave Multiuser MIMO Systems
Non-Orthogonal Multiple Access With Improper Gaussian Signaling
A Parameter Generation Algorithm Using Local Variance for HMM-Based Speech Synthesis
Iteratively Training Look-Up Tables for Network Quantization
Dynamic Stochastic Blockmodels for Time-Evolving Social Networks
Image Retargeting Quality Assessment: A Study of Subjective Scores and Objective Metrics
Combining Vocal Tract Length Normalization With Hierarchical Linear Transformations
Low-Rank Matrix Decomposition and Spatio-Temporal Sparse Recovery for STAP Radar
Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model
Factored Maximum Penalized Likelihood Kernel Regression for HMM-Based Style-Adaptive Speech Synthesis
High-Throughput Deep Unfolding Network for Compressive Sensing MRI
A Game-Theoretic Approach to Energy-Efficient Power Control and Receiver Design in Cognitive CDMA Wireless Networks
Distributed Random Projection Algorithm for Convex Optimization
A Distributed Tracking Algorithm for Reconstruction of Graph Signals