yusuke1997/dblp-id-title huggingface dataset:
Distributionally Robust Domain Adaptation
MOGT: Oversampling with a parsimonious mixture of Gaussian trees model for imbalanced time-series classification
Sketchsegnet: A Rnn Model for Labeling Sketch Strokes
Online DOA Estimation for Noninteger Linear Antenna Arrays in Coarray Domain
GLRT for testing separability of a complex-valued mixture based on the Strong Uncorrelating Transform
MIMO Radar Waveform Synthesis Using Generative Adversarial Networks
Ensemble Ranking SVM for learning to rank
Multiplicative update for fast optimization of information retrieval based neighbor embedding
High Dimensional Stochastic Linear Contextual Bandit with Missing Covariates
Affective State Recognition based on eye gaze Analysis using two-Stream Convolutional Networks
Expectation propagation for nonstationary heteroscedastic Gaussian process regression
Automatic classification of irregularly sampled time series with unequal lengths: A case study on estimated glomerular filtration rate
Non-Convex Constrained Stochastic Successive Convex Approximation
Dcgan for the Synthesis of Multivariate Multifractal Textures: How do We Know it Works?
Discriminating bipolar disorder from major depression using whole-brain functional connectivity: A feature selection analysis with SVM-FoBA algorithm
Graph-based detection of shilling attacks in recommender systems
Soft Dropout And Its Variational Bayes Approximation
QR code localization using deep neural networks
Estimation of Locally Stationary Graph Processes from Incomplete Realizations
The influence of hyper-parameters in the infinite relational model
Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers
Lumen & Media Segmentation of IVUS Images via Ellipse Fitting Using a Wavelet-Decomposed Subband CNN
Vocal separation using extended robust principal component analysis with Schatten p/lp-norm and scale compression
Few-Shot Radar Signal Recognition Through Self-Supervised Learning and Radio Frequency Domain Adaptation
Deep learning algorithms for signal recognition in long perimeter monitoring distributed fiber optic sensors
Online learning for quality-driven unequal protection of scalable video
On The Failure of Invariant Risk Minimization and an Effective fix via Classification Error Control
Optimal Classifier Model Status Selection using Bayes boundary uncertainty
Voice Anonymization in Urban Sound Recordings
A new fast Jacobi-like algorithm for non-orthogonal joint diagonalization of real-valued matrices based on a QR parameterization
Rethinking Audio-Visual Synchronization for Active Speaker Detection
Scalable Convolutional Dictionary Learning with constrained Recurrent Sparse Auto-encoders
Minimum classification error training with automatic setting of loss smoothness
A Deep Q-Network Based Approach for Online Bayesian Change Point Detection
Online anomaly detection with an incremental centred kernel hypersphere
Uncertain Bayesian Networks: Learning from Incomplete Data
Inducing discrimination in biologically inspired models of visual scene recognition
Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis
Speech recognition features based on deep latent Gaussian models
Sparse bounded component analysis
Space-Time Extension of the MEM Approach for Electromagnetic Neuroimaging
Nonnegative matrix factorization based self-taught learning with application to music genre classification
Incorporating Intra-Spectral Dependencies with a Recurrent Output Layer for Improved Speech Enhancement
Pulse ID: The Case for Robustness of ECG as a Biometric Identifier
SVIT: Hybrid Vision Transformer Models with Scattering Transform
Predicting Generalization in Deep Learning Using Data Augmentation and posterior Probability Estimators
Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint
Robust Imputation SwinLSTM for Spectrum Map Prediction of Incomplete Data
Stochastic gradient descent with finite samples sizes
Maximum reconstruction probability training of Restricted Boltzmann machines with auxiliary function approach
Signal stochastic decomposition over continuous dictionaries
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks
Constrained spectral clustering for image segmentation
Randomized robust subspace recovery for big data
A modified version of the MEXICO algorithm for performing ICA over Galois fields
Link prediction in weighted networks
Wavetransfer: A Flexible End-to-End Multi-Instrument Timbre Transfer with Diffusion
How can we detect anomalies from subsampled audio signals?
Stochastic kernel temporal difference for reinforcement learning
A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes
Robust Reconstruction with Nonconvex Subset Constraints: A Polynomial Optimization Approach
Real-time segmentation for tomographic imaging
A review of kernels on covariance matrices for BCI applications
Efficient Mouth Alignment for Visual Speech Recognition
Classical quadrature rules via Gaussian processes
Multi-Step Chord Sequence Prediction Based On Aggregated Multi-Scale Encoder-Decoder Networks
An excitation model based on inverse filtering for speech analysis and synthesis
Semi-blind kurtosis maximization algorithm applied to complex-valued fMRI data
Modelling dense relational data
An Integration Development of Traditional Algorithm and Neural Network for Active Noise Cancellation
Blind source separation of medial temporal discharges via partial dictionary learning
A probabilistic approach for phase estimation in single-channel speech enhancement using von mises phase priors
Metric measurement from street view sequences with simple operator assistance and phase correlation based frame selection
Composer Style-Specific Symbolic Music Generation using Vector Quantized Discrete Diffusion Models
T-CLAP: Temporal-Enhanced Contrastive Language-Audio Pretraining
A multimodal multiple kernel learning approach to Alzheimer's disease detection
Nonlinear Matrix Decomposition with the Sigmoid Function
Enhancing Generalization in Human Activity Recognition Through Improved WI-FI Channel State Information Phase Processing and Antenna Pair Selection
Handling missing features in maximum margin Bayesian network classifiers
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines
Maximum a posteriori estimation of relative abundances of protein conformations
Hierarchical Hypercomplex Network for Multimodal Emotion Recognition
Nonparametric statistical structuring of knowledge systems using binary feature matches
A Machine Learning Approach for Classifying Faults in Microgrids using Wavelet Decomposition
Online Learning For Indoor Asset Detection
Noise-adaptive Deep Neural Network for single-channel speech enhancement
Automatic image tagging and recommendation via PARAFAC2
Optimal portfolios under transaction costs in discrete time markets
Lower Bounds on the Error Probability for Invariant Causal Prediction
A Spatiotemporal Deep Learning Solution For Automatic Micro-Expressions Recognition From Local Facial Regions
Block-Wise Minimization-Majorization Algorithm for Huber'S Criterion: Sparse Learning and Applications
prNet: Efficient and Robust Phase Retrieval via Stochastic Refinement
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations
A new scatter-based multi-class support vector machine
Volunteer Retention and Future Collaboration Prediction in Volunteer Crowdsourcing Platforms
Poisson-Based Modeling and Curvature-Aware Optimization for Neural Collaborative Filtering in Recommendation Systems
Non-Native Children's Automatic Speech Assessment Challenge (NOCASA)
Layer Ensembles
The 9th annual MLSP competition: Second place
IANS: Intelligibility-Aware Null-Steering Beamforming for Dual-Microphone Arrays
General Robust Subband Adaptive Filtering for Echo Cancellation
Transfer Bayesian Meta-Learning Via Weighted Free Energy Minimization
Deep Unrolling for Nonconvex Robust Principal Component Analysis
3D Face Morph Generation Using Geometry-Aware Template Inversion
Markov Chain Monte Carlo inference for probabilistic latent tensor factorization
Pinning the tail on the distribution: A multivariate extension to the generalised Pareto distribution
Inferring room semantics using acoustic monitoring
On generating mixing noise signals with basis functions for simulating noisy speech and learning dnn-based speech enhancement models
Blind Audio Source Separation Using Two Expectation-Maximization Algorithms
Hankel subspace method for efficient gesture representation
Hilbert-Space Reduced-Rank Methods For Deep Gaussian Processes
Analysis of Mild Cognitive Impairment Utilizing Covariance Matrices of Brain Regions
Blind separation of ballistocardiogram from EEG via short-and-long-term linear prediction filtering
Insights Into The Behaviour Of Multi-Task Deep Neural Networks For Medical Image Segmentation
Towards optimal nonlinearities for sparse recovery using higher-order statistics
Bag of Groups of Convolutional Features Model for Visual Object Recognition
Deflation technique for neural spike sorting in multi-channel recordings
Map estimation for Bayesian mixture models with submodular priors
Method for the identification of the subsets of genes specifically consistently co-expressed in a set of datasets
Local linear approximation of principal curve projections
2D sound-source localization on the binaural manifold
Variational Bayesian Partially observed non-Negative Tensor Factorization
Self-Compression in Bayesian Neural Networks
Learning to reproduce a sound field
Deep Neural Networks for Application Awareness in SDN-based Network
Light field based Face Recognition via a Fused Deep Representation
Level sets for retinal vasculature segmentation using seeds from ridges and edges from phase maps
Child Speech Assessment Through Large Language Model Speech Synthesis: Preliminary Results
Optimization of average precision with Maximal Figure-of-Merit Learning
Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series
Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks
Adaptive regularized diffusion adaptation over multitask networks
Compressing Wav2vec2 for Embedded Applications
Adaptive Pre-Processing for Neural Network Hardware Deployment
An Enhanced System for the Detection and Active Cancellation of Snoring Signals
Online Frequency Estimation with Adaptive Locally Differentially Private Mechanisms
The eighth annual MLSP competition: Second place team
A Bayesian approach to tracking with kernel recursive least-squares
Active object detection on graphs via locally informative trees
Limiting the reconstruction capability of generative neural network using negative learning
Brain source localization using a physics-driven structured cosparse representation of EEG signals
Dictionary of gray-level 3D patches for action recognition
27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017
Deep Learning Techniques For Time Series Forecasting: An Application For Exchange Rates
Combining Deep Neural Networks and Beamforming for Real-Time Multi-Channel Speech Enhancement using a Wireless Acoustic Sensor Network
A greedy approach to sparse poisson denoising
Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments
Robust kernel-based regression using Orthogonal Matching Pursuit
Preventing Poisoning Attacks On AI Based Threat Intelligence Systems
Adaptive Privacy for Differentially Private Causal Graph Discovery
Htgtm: Hybrid Temporal-Graph Tabular Model For Complex Multimodal Tabular Data Processing
Remote Sensing Image Regression for Heterogeneous Change Detection
Bayesian compressive sensing using iterated conditional modes
Properties of Learning Multiplicative Universal Adversarial Perturbations in Image Data
Observation-model error compensation for enhanced spectral envelope transformation in voice conversion
A comparative study of example-guided audio source separation approaches based on nonnegative matrix factorization
Algorithms for Boolean Matrix Factorization using Integer Programming
Path Planning of Multiple Agents Through Probability Flow
Score-matching estimators for continuous-time point-process regression models
The linear process mixture model
Graph-Based Transform Based on Neural Networks for Intra-Prediction of Imaging Data
Scatternet hybrid deep learning (SHDL) network for object classification
Facial expression recognition with robust covariance estimation and Support Vector Machines
Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring
Toward big data in QSAR/QSPR
Exact simulation of noncircular or improper complex-valued stationary Gaussian processes using circulant embedding
LANM: Learned Atomic Norm Minimization for Superfast Gridless Spectral Compressed Sensing
Stereoscopic video shot classification based on Weighted Linear Discriminant Analysis
Veela Challenge - Vessel Extraction and Extrication for Liver Analysis
Heteroscedastic Gaussian process regression using expectation propagation
Decentralized Fusion of Experts Over Networks
Autoclip: Adaptive Gradient Clipping for Source Separation Networks
A Quantum-feedforward and classical-feedback separating structure adapted with monodirectional measurements; Blind qubit uncoupling capability and links with ICA
Deep Variational Generative Models for Audio-Visual Speech Separation
Studying the interaction of a hidden Markov model with a Bayesian spiking neural network
The Friendship Paradox: Implications In Statistical Inference Of Social Networks
Human fall detection using segment-level cnn features and sparse dictionary learning
Statistics based features for unvoiced sound classification
Deep Convolutional Neural Network-Based Inverse Filtering Approach for Speech De-Reverberation
Voice analysis of patients with neurological disorders using acoustical and nonlinear tools
Infinite probabilistic latent component analysis for audio source separation
Deep semi-supervised learning for domain adaptation
Speed: Scalable Preprocessing of EEG Data for Self-Supervised Learning
Graph-Vector Autorregressive Model for Lithium-Ion Cell Capacity Estimation
A New Non-Convex Framework to Improve Asymptotical Knowledge on Generic Stochastic Gradient Descent
3D Segmentation of Unruptured Intracranial Aneurysms using Task Specific Transfer Learning and Pure Convnets
Novelty detection under multi-label multi-instance framework
Uncertainty Modeling and interpretability in Convolutional Neural Networks for Polyp Segmentation
Hankel Surrogate for Model-Bridge Simulation Calibration
Animating a Chinese interactive virtual character
Underwater Acoustic Signal Classification using Hierarchical Audio Transformer with Noisy Input
Scale and shift invariant time/frequency representation using auditory statistics: Application to rhythm description
Video-informed approach for enhancing audio source separation through noise source suppression
Low Complexity Orthogonal Matching Pursuit Based Channel Estimation in mmWave Massive MIMO Systems
Pseudo inputs for pairwise learning with Gaussian processes
A conjugate gradient algorithm for blind sensor calibration in sparse recovery
Gaussian process for human motion modeling: A comparative study
Topology-Aware Joint Graph Filter and Edge Weight Identification for Network Processes
Regularizing Neural Networks by Stochastically Training Layer Ensembles
A convolutive spectral decomposition approach to the separation of feedback from target speech
Memory-Efficient Correlated Noise for Locally Differentially Private Momentum in Distributed Learning
User and device localization using probabilistic device log trilateration
Online Supervised Acoustic System Identification Exploiting Prelearned Local Affine Subspace Models
Putting poses on manifold for action recognition
Exemplar-based image inpainting: Fast priority and coherent nearest neighbor search
ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere
Bayesian feature selection for sparse topic model
Speaker tracking for hearing aids
Information Channels of Deep Neural Networks
Leveraging deep neural networks with nonnegative representations for improved environmental sound classification
Estimation of causal structures in longitudinal data using non-Gaussianity
Temporal context in object recognition
Joint Covariate-Alignment and Concept-Alignment: A Framework for Domain Generalization
Voice conversion for arbitrary speakers using articulatory-movement to vocal-tract parameter mapping
Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough
2D-Radar Imaging With Deep Convolutional Neural Networks
Exact O(N 2 ) Hyper-Parameter Optimization for Gaussian Process Regression
Kernel learning as minimization of the single validation estimate
Random primal-dual proximal iterations for sparse multiclass SVM
A Unified Approach for Target Direction Finding Based on Convolutional Neural Networks
Noise-robust digit recognition with exemplar-based sparse representations of variable length
A variance Modeling Framework based on variational Autoencoders for speech enhancement
The eighth annual MLSP competition: First place team
Orthogonal segmented model for underdetermined blind identification and separation of sources with sparse events
Iterative data-driven coronary vessel labeling
Learning distances to improve phoneme classification
A SIFT-point distribution-based method for head pose estimation
Efficient data classification by GPU-accelerated linear mean squared slack minimization
The 10th annual MLSP competition: Second place
Retrieving sounds by vocal imitation recognition
Convolutional Spiking-Based GRU Cell for Spatio-Temporal Data
Learning Parametric Time-Vertex Graph Processes from Incomplete Realizations
Learning Sparse Structured Ensembles with stochastic Gradient MCMC Sampling and Network Pruning
Approximate state-space Gaussian processes via spectral transformation
Restoration and Enhancement of Historical Manuscript Images Using Diffusion Model
Neural-Anova: Analytical Model Decomposition Using Automatic Integration
YourMT3+: Multi-Instrument Music Transcription with Enhanced Transformer Architectures and Cross-Dataset STEM Augmentation
A regularized sequential dictionary learning algorithm for fmri data analysis
Prototypical Contrastive Learning for Improved Few Shot Audio Classification
Segmentation of medical images based on hierarchical evolutionary and bee algorithms
Tina: Acceleration of Non-NN Signal Processing Algorithms Using NN Accelerators
Joint Topology Learning and Graph signal Recovery via Kalman filter in Causal Data Processes
Deep Learning Based Polyculture Structural Phenotyping
An Ensemble Link Prediction Framework With AUC-Guided Leaderboard Probing For Volunteer Collaboration Prediction Challenge
Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated Optimisation
Quadratic Mutual Information Regularization in Real-Time Deep CNN Models
Persian language understanding using a two-step extended hidden vector state parser
Bayesian learning for speech dereverberation
Are Almost Non-Negative Neural Networks Universal Approximators?
Large-Scale Sparse Subspace Clustering Using Landmarks
Pulse based signal processing for systolic peak recognition
DisCrossFormer: A Deep Light-Weight Image Super Resolution Network Using Disentangled Visual Signal Processing and Correlated Cross-Attention Transformer Operation
Local Gaussian model with source-set constraints in audio source separation
Neural Successive Cancellation Decoder for Polar Codes Using Analog in-Memory Computing with Memristors
LBP based on multi wavelet sub-bands feature extraction used for face recognition
RSR-NF: Neural Field Regularization by Static Restoration Priors for Computed Dynamic Imaging
Self Supervised Dictionary Learning Using Kernel Matching
Learning with the kernel signal to noise ratio
A randomwalk based model incorporating social information for recommendations
Introducing a simple fusion framework for audio source separation
Distributed Compressed Sensing With Personalized Variational Auto-Encoders
Riemannian Fusions of EEG-Based Features for Motor Imagery Detection Under Propofol Sedation
Kernels for time series of exponential decay/growth processes
Inference of gene regulatory Networks by Maximum-likelihood adaptive filtering and discrete fish School Search
A dictionary learning algorithm for sparse coding by the normalized bilateral projections
Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models
Blind channel equalization of encoded data over galois fields
Neural Knowledge Transfer for Sentiment Analysis in Texts with Figurative Language
Supervised single channel source separation of EEG signals
Rl-Ncs: Reinforcement Learning Based Data-Driven Approach For Nonuniform Compressed Sensing
Learning from Multiple Noisily Optimal Demonstrators in Stochastic Multi Armed Bandits
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning
On Sparse Complex Gaussian Graphical Model Selection
A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes
25th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2015, Boston, MA, USA, September 17-20, 2015
Anonymizing Motion Sensor Data Through Time-Frequency Domain
Adversarial learning: A critical review and active learning study
Fast alternating volume maximization algorithm for blind separation of non-negative sources
Tracking of Quantized Signals Based on Online Kernel Regression
Audio source separation with time-frequency velocities
Graphical methods for inequality constraints in marginalized DAGs
Coded Distributed Image Classification
Strokevision-Bench: A Multimodal Video and 2D Pose Benchmark for Tracking Stroke Recovery
Learning or Cheating? Assessing Data Contamination in Large Vision-Language Models
Multiclass SVM with graph path coding regularization for face classification
Blind Processing Methods for Quantum Channels: Identification, Equalization and Source Separation
Model-Driven Heart Rate Estimation and Heart Murmur Detection Based On Phonocardiogram
Towards Better Recognition of Spontaneous Children's Speech: Speaker-Clustering Fine-Tuning of Whisper
Parallel and distributed training of neural networks via successive convex approximation
Machine learning regression based on particle bernstein polynomials for nonlinear system identification
Randnet: Deep Learning with Compressed Measurements of Images
Mel-Generalized cepstral regularization for discriminative non-negative matrix factorization
Faster R-CNN with densenet for scale aware pedestrian detection vis-à-vis hard negative suppression
Efficient separable filter estimation using Rank-1 Convolutional Dictionary Learning
Blind source separation for nonstationary tensor-valued time series
Efficient high dynamic range imaging via matrix completion
Isomap out-of-sample extension for noisy time series data
Normalizing Energy Consumption for Hardware-Independent Evaluation
Mental Workload Classification From Spatial Representation of FNIRS Recordings Using Convolutional Neural Networks
A General Parametrization Framework for Pairwise Markov Models: An Application to Unsupervised Image Segmentation
ESWT - tracking organs during focused ultrasound surgery
A rate-distortion framework for supervised learning
Gaussian density guided deep neural network for single-channel speech enhancement
Scalable Gaussian Process for Extreme Classification
Mahalanobis-based one-class classification
Deep Low-Dimensional Spectral Image Representation for Compressive Spectral Reconstruction
Privacy-Preserving Federated Primal-Dual Learning for Non-Convex Problems With Non-Smooth Regularization
Study of different strategies for the Canonical Polyadic decomposition of nonnegative third order tensors with application to the separation of spectra in 3D fluorescence spectroscopy
Joint audio source separation and dereverberation based on multichannel factorial hidden Markov model
Compressed and Lightweight CNN for Real-Time Parkinson's Tremor Detection from Wearable IMU Data