yusuke1997/dblp-id-title huggingface dataset:
Joint Optimization of Piecewise Linear Ensembles
An Empirical Comparison of Joint-Training and Pre-Training for Domain-Agnostic Semi-Supervised Learning Via Energy-Based Models
Deep Learning-Based CTU Splitting and Dynamic GOP Adjusting for Semantic Aware Video Compression
Learning the solution sparsity of an ill-posed linear inverse problem with the Variational Garrote
Learning embeddings for speaker clustering based on voice equality
Covariate shift approach for invariant texture classification
Dictionary learning over large distributed models via dual-ADMM strategies
Deep Complex Convolutional Recurrent Network for Multi-Channel Speech Enhancement and Dereverberation
Frequency Domain-Based Perceptual Loss for Super Resolution
Variable Depth Bayesian Neural Networks Using Reversible Jumps
Helicopter vibration sensor selection using data visualisation
Stability and Performance Analysis of Diffusion Learning for Two-Network Competing Problems
On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases
Stereophonic spectrogram segmentation using Markov random fields
30th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2020, Espoo, Finland, September 21-24, 2020
Complex support vector machines for quaternary classification
Ridge-adjusted Slack Variable Optimization for supervised classification
A layer-block-wise pipeline for memory and bandwidth reduction in distributed deep learning
Non-negative Matrix Factorization using weighted beta divergence and equality constraints for industrial source apportionment
Detecting Industrial fouling by monotonicity during ultrasonic Cleaning
Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck
Koopman Autoencoder Via Singular Value Decomposition for Data-Driven Long-Term Prediction
Automatic analysis of audiostreams in the concept drift environment
Task-Oriented Communication for Vehicle-to-Infrastructure Cooperative Perception
A novel heuristic memetic clustering algorithm
Adaptive Semantic Image Transmission Using Generative Foundation Model
Scalable Community Detection in the Degree-Corrected Stochastic Block Model
26th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016, Vietri sul Mare, Salerno, Italy, September 13-16, 2016
Two-step supervised confidence measure for automatic face recognition
A maximum likelihood approach for independent vector analysis of Gaussian data sets
Dimensionality reduction for EEG classification using Mutual Information and SVM
Anomaly Location Detection with Electrical Impedance Tomography Using Multilayer Perceptrons
Sparse Bayesian Binary logistic Regression using the Split-and-Augmented Gibbs sampler
Dynamic nsNET2: Efficient Deep Noise Suppression with Early Exiting
Road condition classification using a new global alignment kernel
The Minimum Value State Problem in Actor-Critic Networks
Robust Semiparametric Joint Estimators of Location and Scatter in Elliptical Distributions
Classification With Dictionary Learning and A Distance Barrier Promoting Incoherence
Physics-Informed Neural Networks for Pathloss Prediction
Bayesian error estimation and model selection in sparse logistic regression
Detecting malignant ventricular arrhythmias in electrocardiograms by Gaussian process classification
First-Order Optimization for Superquantile-Based Supervised Learning
A subspace learning algorithm for microwave scattering signal classification with application to wood quality assessment
Characterizing Probabilistic Structure in Learning Using Information Sufficiency
Convex nonnegative matrix factorization with missing data
Low-Light Environment Neural Surveillance
MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information
Finding Low-Dimensional Dynamical Structure Through Variational Auto-Encoding Dynamic Mode Decomposition
DB-GAN: A Low Contrast Image Enhancer Based on NIR-RGB Fusion
Estimating Partially Observed Graph Signals by Learning Spectrally Concentrated Graph Kernels
Improving image classification with frequency domain layers for feature extraction
Alternating direction method for approximating smooth feature vectors in Nonnegative Matrix Factorization
Top-down attentionwith features missing at random
28th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018, Aalborg, Denmark, September 17-20, 2018
Detection of epileptic convulsions from accelerometry signals through machine learning approach
Zero-Shot Motion Pattern Recognition from 4D Point-Clouds
ModeNet: Mode Selection Network for Learned Video Coding
Stochastic unfolding
Optimal Pricing In Black Box Producer-Consumer Stackelberg Games Using Revealed Preference Feedback
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data
Performance-Complexity Trade-Off in Large Dimensional Statistics
Methods for learning adaptive dictionary in underdetermined speech separation
Multimodal Data Visualization and Denoising with Integrated Diffusion
Foleygen: Visually-Guided Audio Generation
DualGCN: A Convolutional Network for Anomaly Detection in Directed Graphs Based on Symmetrized and Skew-Symmetrized Laplacians
Cycle-Consistent Diffusion Model With Vessel-Aware Attention for Endoscopic Image Translation
Graph-Adaptive Activation Functions for Graph Neural Networks
An Analysis of Associations Between Maternal Vocalizations and Infant Stress Recovery Using Speech Emotion Recognition Models
On ℓp -norm sparse blind deconvolution
Mixture Representation of the MatéRn class with Applications in State Space Approximations and Bayesian quadrature
Analyzing Transfer Learning Methods For UXO Classification In Varying Shallow Water Environments
Multiview Independent Component Analysis with Delays
Revealing Perceptible Backdoors in DNNs, Without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic
Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions
Real-Time Optimizing Weighted Gaussian Curvature for 4K Videos
Affinity Mixup for Weakly Supervised Sound Event Detection
Steady-state and transient operation discrimination by Variational Bayesian Gaussian Mixture Models
HMM-based Tianjin Dialect speech synthesis using bilateral question Set
On the relationship between online Gaussian process regression and kernel least mean squares algorithms
Unsupervised domain adaptation with copula models
A delayed proximal gradient method with linear convergence rate
Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification
Language informed bandwidth expansion
Inference of helicopter airframe condition
A Bayesian non parametric approach to learn dictionaries with adapted numbers of atoms
ESeNet-D : Efficient Semantic Segmentation for RGB-Depth Food Images
Enhanced Feature Extraction and Attention Mechanisms for Micro-Expression Recognition
Multimodal factor analysis
Backdoor Inversion in Neural-Activation Space
Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction
Exact Bayesian estimation in constrained Triplet Markov Chains
Orthogonal Symmetric Nonnegative Matrix Tri-Factorization
Fast multi-class sample reduction for speeding up support vector machines
Tiny Noise-Robust Voice Activity Detector for Voice Assistants
Bayesian nonparametric modeling of hierarchical topics and sentences
Speech intelligibility prediction as a classification problem
Learning stochastic differential equations with Gaussian Processes without Gradient Matching
Distributed Dual Coordinate Ascent With Imbalanced Data on a General Tree Network
On comparing hard and soft fusion of dependent detectors
A novel approach to creating artificial training and test data for an HMM based posture recognition system
Label Propagation for Learning with Label proportions
SAGE: Spliced-Audio Generated Data for Enhancing Foundational Models in Low-Resource Arabic-English Code-Switched Speech Recognition
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning
2011 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2011, Beijing, China, September 18-21, 2011
Vowel duration measurement using deep neural networks
Evaluation of Loss Functions for Estimation of Latent Vectors from GAN
Protein subcellular localization prediction based on profile alignment and Gene Ontology
Enhanced Arabic Text Retrieval with Attentive Relevance Scoring
Scalable multi-neighborhood learning for convolutional networks
A sequential Bayesian inference framework for blind frequency offset estimation
A model explanation system
Navigation-Based learning for survey trajectory classification in autonomous underwater vehicles
Explainable Deep Learning Detection of Gaussian Propeller Noise with Unknown Signal-to-Noise Ratio
Tensor classification network
FBR-CNN: A Feedback Recurrent Network for Video Saliency Detection
Coordinate Ascent Neural Kalman-MLE for State Estimation
Signal Prediction for Loss Mitigation in Tactile Internet: a Leader-Follower Game-Theoretic Approach
Efficient Bayesian Inference By Conjugate-Computation Variational Message Passing
Adaptive Birth for the GLMB Filter for Object Tracking in Satellite Videos
Volunteer Future Collaboration Prediction with Topology-Based Ensemble Models
A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks
A Generative Machine Learning Approach to RFI Mitigation for Radio Astronomy
Minimax Active Learning Via Minimal Model Capacity
Caesynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders
Fish Feeding Intensity Assessment in Aquaculture: A New Audio Dataset AFFIA3K and a Deep Learning Algorithm
A randomized heuristic for kernel parameter selection with large-scale multi-class data
Learning Shared Neural Manifolds from Multi-Subject FMRI Data
Correcting boundary over-Exploration Deficiencies in Bayesian Optimization with Virtual derivative Sign observations
MMCC-Music: A Robust Direction of Arrival Estimator based On Maximum Mixture Correntropy Criterion Under Alpha-Stable Distributed Noise
End-To-End Detection Of Attacks To Automatic Speaker Recognizers With Time-Attentive Light Convolutional Neural Networks
Unsupervised Domain Adaptation of Universal Source Separation Based on Neural Full-Rank Spatial Covariance Analysis
Ambiguity-Free and Efficient Sparse Phase Retrieval from Affine Measurements Under Outlier Corruption
Does speech enhancement work with end-to-end ASR objectives?: Experimental analysis of multichannel end-to-end ASR
Convolutional Neural Network Denoising of Focused Ion Beam Micrographs
Unsupervised feature selection based on non-parametric mutual information
Synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia
Collaborative learning of mixture models using diffusion adaptation
A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI
Deep Extreme Learning Machine With its Application to Body-Conducted-Sound-Based Handwork Recognition
Enhanced Noisy Sparse Subspace Clustering via Reweighted L1-Minimization †
Molecular Graph Generation via Geometric Scattering
Rao-Blackwellized particle mcmc for parameter estimation in spatio-temporal Gaussian processes
Discriminative Community Detection for Multiplex Networks
Opinion Recommendation Using Coverage for Adaptive Prediction
A Flow Artist for High-Dimensional Cellular Data
Combined unsupervised and semi-supervised learning for data classification
Detection of Insects in Class-Imbalanced Lidar Field Measurements
Non-negative durational HMM
Radar Target Detection in Strong Clutter Using Spatial-Temporal U-NET
Recognition Of Atypical Behavior In Autism Diagnosis From Video Using Pose Estimation Over Time
Semantic Communication for Remote Spectrum Sensing in Non-Terrestrial Networks
On the use of support vector machines for the prediction of propagation losses in smart metering systems
Variational Bayes learning of graphical models with hidden variables
Integrated Communication and Computation-Enabled Cooperative Spectrum Sensing with the Mamba Network
Semi-Supervised Learning-Based Approach for DOA Estimation Under Hardware Impairments
Learning guided convolutional neural networks for cross-resolution face recognition
A Coarse-to-Fine Object Detection Framework for High-Resolution Images with Sparse Objects
Deep Learning-Based Grant-Free Massive Access with Age-of-Information Minimization
Deep independence network analysis of structural brain imaging: A simulation study
Pose-Guided Focal Loss for Enhancing Vision Transformers in Continuous Sign Language Recognition
A linear stochastic state space model for electrocardiograms
Differential mutual information forward search for multi-kernel discriminant-component selection with an application to privacy-preserving classification
Memory Replay For Continual Learning With Spiking Neural Networks
29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019, Pittsburgh, PA, USA, October 13-16, 2019
Parameter design tradeoff between prediction performance and training time for Ridge-SVM
Quantization-Aware Training for Mixed Precision Photonic Neural Networks
A Hallucination Metric and Correction Scheme for Diffusion-Based Image Restoration
Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications
IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2014, Reims, France, September 21-24, 2014
Deep Adversarial Defense Against Multilevel $-\ell_{P}$ Attacks
The 10th annual MLSP competition: Third place
Scad-Penalized Complex Gaussian Graphical Model Selection
On-the-fly audio source separation
Unknown Signal Detection In Linear Dynamical System Noise
A Placement Angle Detection Method of Recyclable Object for Garbage Power Generation
Energy-Information Trade-Off in Self-Directed Channel Memristors
Uncertainty Bounds for Kernel-based Regression: a Bayesian SPS Approach
Discriminant-component eigenfaces for privacy-preserving face recognition
Orthogonal Maximum Correntropy Learning
ECG-based biometrics: A real time classification approach
Blind Hierarchical Deconvolution
Biomedical signal compression with time- and subject-adaptive dictionary for wearable devices
On the Effectiveness of Two-Step Learning for Latent-Variable Models
Interpretability of Riemannian Tools Used in Brain Computer Interfaces
Variational Structure Learning for Semi-Supervised Classification
Parallel-in-Time Probabilistic Solutions for Time-Dependent Nonlinear Partial Differential Equations
Robust Learning via Ensemble Density Propagation in Deep Neural Networks
Representing fundamental frequency contours generated by HMM-based speech synthesis using generation process model
Accelerated graph-based spectral polynomial filters
Texture classification from single uncalibrated images: Random matrix theory approach
Graph-Based Multi-Task Learning For Fault Detection In Smart Grid
A locally optimal algorithm for estimating a generating partition from an observed time series
Rao-Blackwellized Monte Carlo Data Association With Deep Metric For Object Tracking
Decoding phase-based information from SSVEP recordings: A comparative study
Spectro-Temporal ECG Analysis for atrial fibrillation Detection
APA: Domain Generalization Using Frequency Based Augmentation
Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function
Non-parametric co-clustering of large scale sparse bipartite networks on the GPU
Learning Rate Should Scale Inversely with High-Order Data Moments in High-Dimensional Online Independent Component Analysis
Inferring targets from gaze
Convolutional Neural Network-Based Reconstruction of Binarized Ultrasound Data for Non-Destructive Testing
Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation
A Bayesian Hierarchical Mixture of Gaussian Model for Multi-Speaker DOA Estimation and Separation
Data-Driven Robust Multi-Agent Reinforcement Learning
Compact web browsing profiles for click-through rate prediction
Gaussian process clustering for the functional characterisation of vital-sign trajectories
Generative Models For Low-Rank Video Representation And Reconstruction From Compressive Measurements
Post-Training Quantization for Vision Mamba with K-Scaled Quantization and Reparameterization
Large scale topic modeling made practical
Detecting Network State in the Presence of Varying Levels of Congestion
Kernel entropy component analysis: New theory and semi-supervised learning
Estimating multiple physical parameters from speech data
Sailing the Seaformer: A Transformer-Based Model for Vessel Route Forecasting
Overview of the Urban Wireless Localization Competition
Automatic plant identification using stem automata
Quantifying spatiotemporal dynamics of twitter replies to news feeds
Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection
K-plane clustering algorithm for analysis dictionary learning
Federated Cooperative 3D Object Detection for Autonomous Driving
Joint Multi-Layer GAN-Based Design of Tensorial RF Metasurfaces
A case study on feature sensitivity for audio event classification using support vector machines
Multiview classification of brain data through tensor factorisation
Semantic Communication for Cooperative Perception with HARQ
The Cow of Rembrandt Analyzing Artistic Prompt Interpretation in Text-to-Image Models
Information-Preserving Networks And The Mirrored Transform
Lesion detection of gastroscopic images based on cost-sensitive boosting
High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation
Fast design of efficient dictionaries for sparse representations
Designing interventions to mitigate cognitive biases in human decisions
Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems
Robust Arabic speaker verification system using LSF extracted from the G.729 bitstream
Bi-Directional Knowledge Transfer For Continual Deep Reinforcement Learning in Financial Trading
Online Multi-Source Domain Adaptation Through Gaussian Mixtures and Dataset Dictionary Learning
A kernel-based nonparametric test for anomaly detection over line networks
General algorithms for estimating spectrogram and transfer functions of target signal for blind suppression of diffuse noise
On the use of machine learning in microphone array beamforming for far-field sound source localization
Vector quantization using survival Cauchy-Schwartz divergence
Fast Subspace Clustering Algorithm with Efficient Similarity-Constrained Sampling for Hyperspectral Images
Mereological algebras as mechanisms for reasoning about sounds
Speaking Images. A Novel Framework for the Automated Self-Description of Artworks
SVD Based Least Squares for X-Ray Pneumonia Classification Using Deep Features
Fast distributed coordinate descent for non-strongly convex losses
Joint SVD-Hyperalignment for multi-subject FMRI data alignment
A multi-layer discriminative framework for parking space detection
Identifying modular relations in complex brain networks
A Differentiable Approach to the Maximum Independent Set Problem Using Graph-Based Neural Network Structures
Trainable Policy For The On-Demand Offloading On Edge-Cloud Collaborative System
Gaussian Process Amplitude Demodulation By Message-Passing
Upper bound performance of semi-definite programming for localisation in inhomogeneous media
Meta-Learning-Based Supervised Domain Adaptation for Melody Extraction
A novel scheme for diffusion networks with least-squares adaptive combiners
A two-stage training deep neural network for small pedestrian detection
Data mining by nonnegative tensor approximation
A U-Net Based Architecture for Automatic Music Transcription
Nature-based Bengali Picture Captioning using Global Attention with GRU
Automatic Screening Of Children With Speech Sound Disorders Using Paralinguistic Features
Robust Federated Learning via Over-the-Air Computation
Convolutional Neural Networks for noise signal Recognition
Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures
AudioMAE++: Learning Better Masked Audio Representations with Swiglu FFNS
Singular Value Decomposition for the Efficient Design of Neural Networks
Entropic Wasserstein Component Analysis
Learning sparse two-level boolean rules
Machine Learning-Based Heart Disease Prediction: A Study for Home Personalized Care
Preprocessing-free surface material classification using convolutional neural networks pretrained by sparse Autoencoder
Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging
Unsupervised Acoustic Condition Monitoring with Riemannian Geometry
Music genre classification using Gaussian Process models
Distributed Blind Deconvolution of Seismic Signals Under Sparsity Constraints in Sensor Networks
Fully Bayesian tensor-based regression
Invertible nonlinear cluster unwrapping
Semipolynomial kernel optimization based on the fisher method
Improving Neural Non-Maximum Suppression for Object Detection by Exploiting Interest-Point Detectors
Beyond the Bias Variance Trade-Off: A Mutual Information Trade-Off in Deep Learning
Bayesian latent feature modeling for modeling bipartite networks with overlapping groups
On surrogate supervision multiview learning
On the use of gradient information in Gaussian process quadratures
Quantum Positive Unlabeled Learning Algorithms with Applications to Energy
Trust the Model: Compact VLMS as In-Context Judges for Image-Text Data Quality
Universal online prediction via order preserving patterns
Logical Access Attacks Detection through audio Fingerprinting in Automatic speaker Verification
Fast algorithm using summed area tables with unified layer performing convolution and average pooling
Deep Learning based Speed estimation for Constraining Strapdown inertial Navigation on Smartphones
Inferring clinical depression from speech and spoken utterances
An Efficient Transformer-Based Model for Voice Activity Detection
Forest: White Matter Fiber Orientation Estimation Using Deep Learning in Diffusion MRI
Constellation Design with Metaheuristic Deep Learning for Future Wireless Networks
Gflownets for Sensor Selection
Speaker identification and clustering using convolutional neural networks
Operator based multicomponent AM-FM signal separation approach
Strength Adjusted Multilayer Spectral Clustering
Air Drums, and Bass: Anticipating Musical Gestures in Accelerometer Signals with a Lightweight CNN
Differentially Private Variable Selection via the Knockoff Filter
Multi-Level Mean-Shift Clustering for Single-Channel Radio Frequency Signal Separation
Redundant time-frequency marginals for chirplet decomposition
Localizing users and items from paired comparisons
A Cascading Bandit Approach To Efficient Mobility Management In Ultra-Dense Networks
On the Role of Low-Level Visual Features in EEG-Based Image Reconstruction
A deep neural network witharestricted noisy channel for identification of functional introns
A new i-vector approach and its application to irrelevant variability normalization based acoustic model training
Designing spatial filters based on neuroscience theories to improve error-related potential classification
Single-Pixel Camera Sensing Matrix Design for Hierarchical Compressed Spectral Clustering
Bridging Discrete and Continuous: A Multimodal Strategy for Complex Emotion Detection
Dual-Path Model With Fresnel Zone-Based Voting For Human Activity Recognition Using WI-FI
Adaptive Approach for Sparse Representations Using the Locally Competitive Algorithm for Audio
Regularized State Estimation And Parameter Learning Via Augmented Lagrangian Kalman Smoother Method
Efficient Algorithms for the Hadamard Decomposition
Understanding Linear Style Transfer Auto-Encoders
Audio Prototypical Network for Controllable Music Recommendation
Data-Driven Learning of Geometric Scattering Modules for GNNs
Online Tensor Low-Rank Representation for Streaming Data
Semi-Supervised Source Localization with Deep Generative Modeling