yusuke1997/dblp-id-title huggingface dataset:
Predicting subject performance level from EEG signal complexity when engaged in BCI paradigm
Adaptive Semantic Video Conferencing for OFDM Systems
Manifold unwrapping using critical surfaces
Recursive outlier-robust filtering and smoothing for nonlinear systems using the multivariate student-t distribution
Geometric Algebra Adaptive Filter Based on Multi-Dimensional Complex-Valued Random Fourier Features
Hyperspectral endmember spectra extraction based on constrained linear-quadratic matrix factorization using a projected gradient method
On the Dynamics of Multiagent Nonlinear Filtering and Learning
Non-linear noise adaptive Kalman filtering via variational Bayes
Integrating Adaptive Prediction with an Optimization-Based Methodology for Data-Driven Efficiency Evaluation in Education
A novel robotic sound localization and separation using non-causal filtering and Bayesian fusion
Deep Clustering Based On A Mixture Of Autoencoders
A new kernel-based approach for identification of time-varying linear systems
Uncovering K-Way Balanced Consensus Communities in Signed Multilayer Brain Networks
An experimental comparison of source separation and beamforming techniques for microphone array signal enhancement
Combining clusterings with different detail levels
Toward a Gaze-Independent Brain-Computer Interface Using the Code-Modulated Visual Evoked Potentials
Deep Blind One-Bit Signal Recovery
Scene-Adapted plug-and-play algorithm with convergence guarantees
Distributed Multi-View Subspace Clustering via Auto-Weighted Spectral Embedding
Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes
Belief Propagation of Pareto Front in Multi-Objective MDP Graphs
Using a penalized maximum likelihood model for feature selection
Blind identification and separation of sources with sparse events
Attack on Scene Flow Using Point Clouds
Energy performance prediction of lighting systems
From Object-Attribute-Relation Semantic Representation to Video Generation: A Multiple Variational Autoencoder Approach
Spatiotemporal Predictive Models for Irregularly Sampled Time Series
Uncertainty Quantification For Learned ISTA
Domain-Adaptive generative adversarial networks for sketch-to-photo inversion
Inference of Protein-Protein Interaction Networks from Liquid-Chromatography Mass-Spectrometry Data by Approximate Bayesian Computation-Sequential Monte Carlo Sampling
Adaptive sparse modeling and shifted-poisson likelihood based approach for low-dosect image reconstruction
A sinusoidal audio and speech analysis/synthesis model based on improved EMD by adding pure tone
Data representation and feature selection for colorimetric sensor arrays used as explosives detectors
Compression of DNNs Using Magnitude Pruning and Nonlinear Information Bottleneck Training
IVA for multi-subject FMRI analysis: A comparative study using a new simulation toolbox
Fast Variational Learning in State-Space Gaussian Process Models
Sparse Stable Outlier-Robust Regression with Minimax Concave Function
Scaling Bayesian Optimization up to Higher Dimensions: a Review and Comparison of Recent Algorithms
Benefits of Online Tilted Empirical Risk Minimization: A Case Study of Outlier Detection and Robust Regression
Causality Analysis based on Matrix Transfer Entropy
Online anomaly detection with constant false alarm rate
Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds
Convex likelihood alignments for bioacoustic Classification
Convex optimization for exact rank recovery in topic models
Convexity Based Pruning of Speech Representation Models
Neural spike detection and localisation via Volterra filtering
SWP: A Stage-Weighted Pooling Based Convolutional Neural Networks for Facial Expression Recognition in the Wild
High dimensional sequential regression on manifolds using adaptive hierarchical trees
State Prediction for Offline Reinforcement Learning via Sequence-to-Sequence Modeling
Attention-Aware Neuromorphic Semantic Communications
Adversarial Perturbation Attacks on Nested Dichotomies Classification Systems
Supervised covariance selection for linear discriminant analysis
Filter bank extension for neural network-based motor imagery classification
Flash flood forecasting using Support Vector Regression: An event clustering based approach
Trading approximation quality versus sparsity within incremental automatic relevance determination frameworks
Self-Supervised Representation Learning from Electroencephalography Signals
Multi-Patches Cooperative Point Cloud Denoising Algorithm Based on Locally Linear Embedding
Text-independent MFCCs vectors classification improvement using local ICA
Observer and feature analysis on diagnosis of retinopathy of prematurity
Visualize and Paint GAN Activations
Informed generalized sidelobe canceler utilizing sparsity of speech signals
GEMS: Group Emotion Profiling Through Multimodal Situational Understanding
Rényi entropy based mutual information for semi-supervised bird vocalization segmentation
Foundation Model-Aided Video Semantic Communication: Framework Design and Prototype Validation
Text to image generative model using constrained embedding space mapping
Deep Learning of Mesoscale Cortical Dynamics for Real-Time Classification of Forelimb Movement in Mice
Phydi: Initializing Parameterized Hypercomplex Neural Networks As Identity Functions
Multinomial Sampling for Hierarchical Change-Point Detection
Lightweight Forest Fire Detection Based on Deep Learning
Small Moving Target MOT Tracking with GM-PHD Filter and Attention-Based CNN
A characterization of the Edge of Criticality in Binary echo State Networks
34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024, London, UK, September 22-25, 2024
A cognitive brain-computer interface prototype for the continuous monitoring of visual working memory load
Quantized Variational Bayesian Joint Channel Estimation and Data Detection for Uplink Massive MIMO Systems with Low resolution ADCS
Learning General Transformations of Data for Out-of-Sample Extensions
Distributed microphone array processing for speech source separation with classifier fusion
A stochastic coordinate descent primal-dual algorithm and applications
Piano music transcription with fast convolutional sparse coding
Asymptotic performance of regularized quadratic discriminant analysis based classifiers
A Naive Bayes approach to improve histogram matching quality
Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees
Articulatory and spectrum features integration using generalized distillation framework
Image Deblurring and Super-Resolution Using Deep Convolutional Neural Networks
32nd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2022, Xi'an, China, August 22-25, 2022
Not All Noise is Accounted Equally: How Differentially Private Learning Benefits from Large Sampling Rates
Adaptive Normalized LMP Estimation for Graph Signal Processing
Simultaneous noise classification and reduction using a priori learned models
2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), Gold Coast, Australia, October 25-28, 2021
Online estimation of inter-channel phase differences using non-negative matrix factorization
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
A Multi-Layer Perceptron Applied to number of target Indication for direction-of-arrival estimation in Automotive radar Sensors
Max-margin similarity preserving factor analysis via Gibbs sampling
Multiple speaker tracking with the Factorial von Mises-Fisher Filter
Diffusion strategies for in-network principal component analysis
Noise reduction using modified phase spectra and Wiener Filter
Radiotrace: Bridging Diffusion Priors and RSS Measurements for Accurate Radio Map Estimation
Flow of Renyi information in deep neural networks
Variational bayes learning of time-varying graphical models
A Neural Network Model of Spatial Distortion Sensitivity for Video Quality Estimation
Multiscale Graph Construction Using Non-Local Cluster Features
Interference Characterization in Wireless Networks: A Determinantal Learning Approach
Networked Contextual Bandits with Anomaly-Aware Learning
Random Feature Approximation for Online Nonlinear Graph Topology Identification
Graph Learning from Multi-Attribute Smooth Signals
Uniphynet: a Unified Network for Multimodal Physiological Raw Signal Classification
Sparse-coded net model and applications
Robust covariance estimation and linear shrinkage in the large dimensional regime
Modelling LGMD2 visual neuron system
Tomographic Reconstruction of Sound Field From Optical Projections Using Physics-Informed Neural Networks
Optimized Spatial Matching for Visual Object Tracking
Calibration-Aware Bayesian Learning
Markov Recurrent Neural Networks
"Digital Washing" of Semen Time-Lapse Images
A BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers
TBDM-NET: Bidirectional Dense Networks with Gender Information for Speech Emotion Recognition
Improving Phone Recognition Through Informed Initialization and Path-Aligned CTC Loss
Kriging-based estimation of time derivatives via FIR filtering
On $\ell_{0}$ Bregman-Relaxations for Kullback-Leibler Sparse Regressionx
Regularized NMF-based speech enhancement with spectral components modeled by gaussian mixtures
Federated Representation Learning Through Clustering
A novel method of diagnosing coronary heart disease by analysing ECG signals combined with motion activity
Low dimensional subspace finding via size-reducing dictionary learning
Guaranteed Deterministic Bounds on the total variation Distance between univariate mixtures
DTW-Approach for uncorrelated multivariate time series imputation
Convolutional higher order matching pursuit
Vertex-Based Networks to Accelerate Path Planning Algorithms
Deep divergence-based clustering
Generative Models and Simulation to Assess Uncertainties for Tokamak Infrared Thermography
Ultra-Low Memory Speech Denoising using Quantization-Aware Neural Architecture Search
The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment
Bayesian linear regression for Hidden Markov Model based on optimizing variational bounds
Diffusion-Based Connectionist Temporal Classification
Using Metaheuristics for Hyper-Parameter Optimization of Convolutional Neural Networks
A super-resolution method for recognition of license plate character using LBP and RBF
Gaussian and student-t filtering using implicit measurements via variational bayes
Chronic Wound tissue Classification using Convolutional Networks and Color Space Reduction
Language-Oriented Semantic Latent Representation for Image Transmission
Long Range Constraints for Neural Texture Synthesis Using Sliced Wasserstein Loss
Visual hull reconstruction for automated primate behavior observation
Photon-Limited Imaging with Quanta Image Sensors Via an Unsupervised Learning Framework
Novel Gradient Sparsification Algorithm via Bayesian Inference
Generalised Active Learning With Annotation Quality Selection
Geodesic-Based Relaxation For Deep Canonical Correlation Analysis
Kernel-based parametric validity index for assessing clusters from microarray gene expression data
A new information theoretic clustering algorithm using k-nn
Fast and Robust Training of Deep Learning Models with Multiplicative Adagrad
Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data
Dynamical Component Analysis (DYCA): Dimensionality Reduction for High-Dimensional Deterministic Time-Series
Sum Rate Maximization for Distributed Riss Assisted Probabilistic Semantic Communication
Semantic-Aware Image Compressed Sensing
Speaker segmentation and clustering based on the improved spectral clustering
A robust point matching algorithm for non-rigid registration using the Cauchy-Schwarz divergence
Non-negative matrix completion for bandwidth extension: A convex optimization approach
Multi-Agent Interactive Question Generation Framework for Long Document Understanding
Improved comparative partner selection with brood recombination for genetic programming
Computational Optimization for Normal Form Realization of Bayesian Model graphs
Unsupervised trajectory pattern classification using hierarchical Dirichlet Process Mixture hidden Markov model
V2I Interference Management for Collaborative Perception Based on Hierarchical Reinforcement Learning
Robustness-Aware Filter Pruning for Robust Neural Networks Against Adversarial Attacks
GRAD-CAM Guided Channel-Spatial Attention Module for Fine-Grained Visual Classification
An Alternative Approach for Distributed Parameter Estimation Under Gaussian Settings
Identification of a thermal building model by learning the dynamics of the solar flux
Efficient modeling by selecting learning samples in human pose estimation
Distributionally Robust Outlier-Aware Receive Beamforming
Dynamic Bayesian Knowledge Transfer Between a Pair of Kalman Filters
The 2013 Signal Separation Evaluation Campaign
Using Sparse Autoencoders to Perform Blind Source Separation of High-Density Myoelectric Signal
Saipp-Net: A Sampling-Assisted Indoor Pathloss Prediction Method for Wireless Communication Systems
Regression with an Ensemble of Noisy Base Functions
Voice Direction-Of-Arrival Conversion
Second order impropriety based complex-valued algorithm for frequency-domain blind separation of convolutive speech mixtures
Semantic Communications: A New Paradigm for Networked Intelligence
Efficient License Plate Recognition via Pseudo-Labeled Supervision with Grounding DINO and YOLOv8
Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities for Out-of-Sample Extension
The time series cluster kernel
An outlier rejection scheme for optical flow tracking
Classification of structural brain networks based on information divergence of graph spectra
Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs
Hubert-Derived SSL Features and ECAPA-TDNN Matching for Robust Audio Deepfake Detection
False alarm reduction by improved filler model and post-processing in speech keyword spotting
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation
Unsupervised Parsimonious Cluster-Based Anomaly Detection (PCAD)
Sequential anomaly detection in a batch with growing number of tests: Application to network intrusion detection
Learning Diversified Feature Representations for Facial Expression Recognition in the Wild
A Multi-Patch Aggregated Aesthetic Rating System Based on Eyefixation
FQ4DM: Full Quantization for Diffusion Model
Experimenting Active and Sequential Learning in a Medieval Music Manuscript
Birdsong analysis using beta process hidden Markov model
A Deep Network for Single-Snapshot Direction of Arrival Estimation
Sudo RM -RF: Efficient Networks for Universal Audio Source Separation
Attention and Edge-Aware Band Selection for Efficient Hyperspectral Classification of Burned Vegetation
Scale Selection Network with Attention Mechanism for Crowd Counting
A diagonal plus low-rank covariance model for computationally efficient source separation
Regularization Parameter-Free Convolutional Sparse Coding via Projections Onto The ℓ1-Ball and The Discrepancy Principle
Diffusion LMS networks in the presence of noisy nodes: A convergence rate and MSD analysis
Stochastic triplet embedding
Graph Topology Inference Benchmarks for Machine Learning
Joint spatial and spectral filter estimation for single trial detection of event related potentials
Does Language Matter for Early Detection of Parkinson's Disease from Speech?
Hybrid context dependent CD-DNN-HMM Keyword Spotting (KWS) in speech conversations
Robust Method for Network Topology Identification Under Structural Equation Model
Latent Dirichlet learning for hierarchical segmentation
Classification Filtering
3D Hough Transform-Based Left Ventricle 3D Object Classification for Cardiomyopathy Diagnosis
Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning
Graph Structure Learning with Local Connectivity Refinement for Improved Physiological Emotion Recognition
Joint Graph Estimation and Signal Restoration for Robust Federated Learning
Blind separation of spatially-block-sparse sources from orthogonal mixtures
Predicting Room Impulse Responses Through Encoder-Decoder Convolutional Neural Networks
Joint Structural and Functional Connectivity Learning Based Independent Component Analysis
Implementation and evaluation of statistical parametric speech synthesis methods for the Persian language
Over-the-Air Split Learning with MIMO-Based Neural Network and Constellation-Based Activation
Meta-Tree: Bayesian Approach to Avoid Overfitting in Decision Trees and Analysis on the Application to Boosting
MLSP2011 competition: Face recognition with integrating multiple cues
Classification of vocal fold nodules and cysts based on vascular defects of vocal folds
Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA
Dynamic matrix factorization with social influence
Spatial stochastic process clustering using a local a posteriori probability
On the Interpretable Adversarial Sensitivity of Iterative Optimizers
Multiclass SVM with Hierarchical Interaction: Application to Face Classification
Learning Time-Vertex Dictionaries for Estimating Time-Varying Graph Signals
Latent force models for earth observation time series prediction
MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis
Towards an Explainable Mortality Prediction Model
Modeling musicological information as trigrams in a system for simultaneous chord and local key extraction
Asymptotics of Maximum Likelihood Parameter Estimates For Gaussian Processes: The Ornstein-Uhlenbeck Prior
Robust Bayesian Transfer Learning Between Kalman Filters
Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media
Privacy-Aware Distributed Graph-Based Semi-Supervised Learning
Estimation of interventional effects of features on prediction
Watching pattern distribution via massive character recognition
Embeddings for Motor Imagery Classification
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis
Semisupervised kernel orthonormalized partial least squares
Dirichlet mixture allocation
Protein Tracking By CNN-Based Candidate Pruning And Two-Step Linking With Bayesian Network
Online Computation of Reduced Egonet Features for Anomaly Detection in Bank Transactions Graphs
Identification of hybrid systems using stable spline kernels
Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing
MCFF-Det: Multispectral Coarse-to-Fine Fusion for Object Detection
A map approach for ℓq-norm regularized sparse parameter estimation using the EM algorithm
Pattern search in dysfluent speech
Low-Count Time Series Anomaly Detection
Online learning with kernels: Overcoming the growing sum problem
Unsupervised Drift Compensation based on Information Theory for Single-Molecule Sensors
Maximizing margin quality and quantity
Unsupervised learning of Markov-switching stochastic volatility with an application to market data
Message Passing-Based Inference in the Gamma Mixture Model
Decentralized partitioning over adaptive networks
Classification based on local feature selection via linear programming
Improving Light Field Reconstruction from Limited Focal Stack Using Diffusion Models
Hiervar: A Hierarchical Feature Selection Method for Time Series Analysis
A Deep Learning Architecture to Detect Events in EEG Signals During Sleep
Two Stage Classifier Chain Architecture for efficient pair-wise multi-label learning
Concept-Based Explainability for an EEG Transformer Model
Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples
Parameter Estimation in Non-Linear State-Space Models by Automatic Differentiation of Non-Linear Kalman Filters
An online learning algorithm for mixture models of deformable templates
Learning-Based UE Classification in Millimeter-Wave Cellular Systems with Mobility
Tensor based singular spectrum analysis for nonstationary source separation
Discrete independent component analysis (DICA) with belief propagation
Decentralized GAN Training Through Diffusion Learning
Contrastive Representation of Channel State Information for Human Body Orientation Recognition in Interaction with Machines
Convolutional Recurrent Neural Network Based Direction of Arrival Estimation Method Using Two Microphones for Hearing Studies
On convergence and accuracy of state-space approximations of squared exponential covariance functions
Joint canonical polyadic decomposition of two tensors with one shared loading matrix
Ringing artifact reduction of JPEG images using a SGLI prior
Perturbation regulated kernel regressors for supervised machine learning
Exploiting Music Source Separation For Singing Voice Detection
Fhsu-Net: Deep Learning-Based Model for the Extraction of Fetal Heart Sounds in Abdominal Phonocardiography
Determined Audio Source Separation with Multichannel Star Generative Adversarial Network
Kernel-based instance annotation in multi-instance multi-label learning
Scalable Community Detection In The Heterogeneous Stochastic Block Model
Efficient Indoor Radio Map Prediction with Improved Transformers and Active Sampling Strategies
Recurrent Neural Networks with flexible Gates using Kernel activation Functions
Bayesian Intent Prediction for Fast Maneuvering Objects using Variable Rate Particle Filters
Single-sided objective speech intelligibility assessment based on Sparse signal representation
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music
Comparison of Hand-Crafted and Deep Features Towards Explainable AI at the Edge for Analysis of Audio Scenes
Towards Generalizable Learning Models for EEG-Based Identification of Pain Perception
Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation
Online function minimization with convex random relu expansions
Online Gaussian Process for Dynamic Radio Map Updating
Gaussian Approximations of SDES in Metropolis-Adjusted Langevin Algorithms
Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning
Hyperspectral Gradient Analysis: A First Study
Analysis of Decentralized Stochastic Successive Convex Approximation for Composite Non-Convex Problems
Asymptotic Study of in-Context Learning with Random Transformers Through Equivalent Models
Minimum classification error training with geometric margin enhancement for robust pattern recognition
Inter-document reference detection as an alternative to full text semantic analysis in document clustering
Incremental Dictionary Learning For Adaptive Classification And Reconstruction Of Facial Imagery
Monaural speech separation using a phase-Aware Deep denoising Auto encoder
Utilizing Perturbation of Atoms' Positions for Equivariant Pre-Training in 3D Molecular Analysis
Prediction of Imaging Data Based on Signal Processing Boosted by Neural Networks with Continual Learning
Learning Outlier-Aware Representation with Synthetic Boundary Samples
Robustness enhancement of distribution based binary discriminative features for modulation classification
A hierarchical Bayesian network for face recognition using 2D and 3D facial data
Collaborative Learning Through Shared Collective Knowledge and Local Expertise
Adversarial domain separation and adaptation
Approximate Gaussian Process Regression and Performance Analysis Using Composite Likelihood
Chinese Dish Detection Based on Dish-YOLOv5
IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2013, Southampton, United Kingdom, September 22-25, 2013
A robust approach towards epileptic seizure detection
Rejection-Sampling-Based Ancestor Sampling for Particle Gibbs
Simultaneous Intent Prediction and State Estimation Using an Intent-Driven Intrinsic Coordinate Model
Robust Importance-Weighted Cross-Validation Under Sample Selection Bias
Learning overcomplete dictionaries based on parallel atom-updating