yusuke1997/dblp-id-title huggingface dataset:
Patch-based image denoising: Probability distribution estimation vs. sparsity prior
Dynamic Bi-Colored Graph Partitioning
Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction
EEG signal classification in non-linear framework with filtered training data
Robustness analysis of blind watermarking for quality scalable image compression
Video coding using non-manifold mesh
Sparsity-based single-channel blind separation of superimposed AR processes
Power backoff reduction for generalized multicarrier waveforms
Multiplierless unified architecture for mixed radix-2/3/4 FFTs
Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation
Deep Neuroevolution: Training Deep Neural Networks for False Alarm Detection in Intensive Care Units
Bounded subset selection with noninteger coefficients
A classification of Byzantine singing voices based on singer's formant
Deep Spatio-Temporal Modeling for Object-Level Gaze-Based Relevance Assessment
Image matching between visually protected images with one-time key based phase scrambling
Localization Of Multiple Jammers In Wireless Sensor Networks
Scale invariant texture classification with mathematical morphology
Hybrid Approach for Logo Segmentation in Videos
A new criterion for determining the efficiency of CDMA codes
Wavelet based unsupervised variational Bayesian image reconstruction approach
Error control for the detection of rare and weak signatures in massive data
Error performance of super-orthogonal space-time trellis codes with transmit antenna selection
Pandora: Description of a painting database for art movement recognition with baselines and perspectives
Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
An integrated method for blind separation and dereverberation of convolutive audio mixtures
Independent Low-Rank Tensor Analysis for Audio Source Separation
Cork pores and defects detection by morphological image analysis
Statistically optimal self-calibration of regular imaging arrays
Towards a visual quality metric for digital video
A lowdistortion noise canceller with a novel stepsize control and conditional cancellation
Blind mimo detection of convolutively mixed CPM sources
Decision fusion for distributed target tracking using cost reference particle filtering
Advances in bacteria motility modelling via diffusion adaptation
Performance evaluation of a sign-error-based iterative precoder for crosstalk cancelation in DSL systems
Minimum entropy restoration using FPGAs and high-level techniques
Detection over diffusion networks: Asymptotic tools for performance prediction and simulation
A new spatiotemporal filtering method for single-trial ERP subcomponent estimation
Speaker verification using m-vector extracted from MLLR super-vector
Adaptive weighted dα filter
Evaluating the spatial resolution of 2D antenna arrays for massive MIMO transmissions
Greek folk music classification using auditory cortical representations
Robust Acoustic Scene Classification to Multiple Devices Using Maximum Classifier Discrepancy and Knowledge Distillation
SORN-based Cascade Support Vector Machine
Low-complexity method for PAPR reduction in OFDM based on frame expansion parameter selection
Feature-based Response Prediction to Immunotherapy of late-stage Melanoma Patients Using PET/MR Imaging
Recent advances in acquisition and reproduction of multispectral images
Automatic Speech Recognition systems errors for accident-prone sleepiness detection through voice
Microphone Array Coding Preserving Spatial Information for Cloud-based Multichannel Speech Recognition
Rapid prototyping of image analysis algorithms on an adaptive FGPA architecture
FFT based sign modulated DWT filter bank
Memory-Reduced DOA Estimators While Using Cyclic-Symmetrical Array
Image processing for high resolution satellite and aerial data
FDA-MIMO Signal Processing for Mainlobe Jammer Suppression
Acoustic scene classification based on generative model of acoustic spatial words for distributed microphone array
Block-based multichannel transform-domain adaptive filtering
A content-aware scheduling scheme for video streaming to multiple users over wireless networks
The Reassigned Cross-Spectrogram
Local stereo matching using motion cue and modified census in video disparity estimation
Subband particle filtering for speech enhancement
Robust method of video stabilization
Optimization of filter banks based on properties of the input signal
Coexistence of G.fast and VDSL in FTTDP and FTTC deployments
A Novel Change Detection Technique for Occluded Objects using Ultra-Wideband Radar
FLoCoRA: Federated Learning Compression with Low-Rank Adaptation
Improved speech recognition in noisy environments by using a throat microphone for accurate voicing detection
Gradually improving the readability of the time-frequency spectra for natural frequency identification in cantilever beams
Exact fast smoothing in switching models with application to stochastic volatility
Noise-robust statistical feature distributions for texture analysis
On the performance of mobile terminal tracking in urban GSM networks using particle filters
FPGA implementations of sorters for non-linear filters
Householder based low-rank space-time processor for anti-jamming navigation receivers
Towards Model-Agnostic Federated Learning over Networks
Rate distortion optimal contour compression using cubic B-splines
A M.A.P. identification criterion for DCT-based watermarking
Double shrinkage correction in sample LMMSE estimation
Sequential subspace finding: A new algorithm for learning low-dimensional linear subspaces
Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization
Linear colour-dependent image filtering based on vector decomposition
Operator-valued kernel recursive least squares algorithm
Comparing higher-order spatial statistics and perceptual judgements in the stylometric analysis of art
Large-scale Pollen Recognition with Deep Learning
Sypole: A mobile assistant for the blind
Novel radar signal models using nonlinear frequency modulation
Measurement and symbolic analysis of implemented multirate systems
Boosted multiple kernel learning for first-person activity recognition
Map-based context dependent tone recognition method of Chinese speech
Unsupervised multiscale change detection in multitemporal synthetic aperture radar images
Infinite non-negative matrix factorization
A linearly-constrained approach for filtered-x wiener filtering
A least square approach for bidimensional source separation using higher order statistics criteria
Classification of listener linguistic vocalisations in interactive meetings
Removing Impulsive Noise from Color Images via a Residual Deep Neural Network Enhanced by Post-Processing
A MC-CDMA iterative solution for Broadband over powerline communications
Stochastic analysis of an iterative semi-blind adaptive beamforming algorithm
Fast actualization of moments in sliding window applications
Noise suppression based on an analysis-synthesis approach
A new algorithm for reducing the requantization loss in video transcoding
Filtering-based Analysis Comparing the DFA with the CDFA for Wide Sense Stationary Processes
Class-specific nonlinear subspace learning based on optimized class representation
Multimodal fusion for cued Speech language recognition
Fast algebraic convolution for prime power lengths
Non-intrusive intelligibility prediction using a codebook-based approach
A Residual Encoder-Decoder Network for Semantic Segmentation in Autonomous Driving Scenarios
3-D fast algorithm for the 3-D New Mersenne Number Transform
Beyond Classification: Evaluating Diffusion Denoised Smoothing for Security-Utility Trade off
Analysis of the consequences of data quality and calibration on 3D HDR image generation
Source Detection and Tracking for Underwater Distributed Acoustic Sensing
Estimation of Cooling Circuits' Temperature in Battery Electric Vehicles Using Karhunen Loeve Expansion and LSTM
Diffusion-based bias-compensated RLS for distributed estimation over adaptive sensor networks
Generalization and analysis of the conventional beamformer for localization of spatially distributed sources
Statistical analysis of image quality measures
Graph-based Denoising of EEG Signals in Impulsive Environments
VibFormer Vibration Translation for Bridge Live-Load Displacement Monitoring
A multi-resolution hidden Markov model using class-specific features
Analysis of vowel deletion in continuous speech
A family of optimized LMS-based algorithms for system identification
Optimized block-diagonalization precoding technique using givens rotations QR decomposition
Wiener solution for OFDM pre and post-FFT beamforming
Robust transmission of variable-length encoded Markov sources using rate-1 channel coding and efficient iterative source-channel decoding
Non-linear processing in cochlear spaced sub-bands using artificial neural networks for multi-microphone adaptive speech enhancement
Structure tensor field regularization based on geometric features
Frequency spectrum regularization for pattern noise removal based on image decomposition
Plug-and-Play Reconstruction with 3D Deep Prior for Complex-Valued Near-Field MIMO Imaging
A fuzzy expert system for low level image segmentation
Non-Parametric B-Spline Decoupling of Multivariate Functions
A DCT-based data-hiding method to embed the color information in a JPEG grey level image
Morphing Detection Using a General- Purpose Face Recognition System
Deep Unrolling of Robust PCA and Convolutional Sparse Coding for Stationary Target Localization in Through Wall Radar Imaging
Brain-Computer Interface - state of the art and future prospects
Evaluation of Sequential Importance Sampling for blind deconvolution via a simulation study
An active mesh based tracker for feature correspondences
Linear discriminant feature selection techniques in elastic graph matching
On the design of oversampled filter banks for channel coding
A tracking framework for laboratory experiments with multiple targets and occlusion
WOLA noise cancelling performance
Efficient detection of additive watermarking in the DWT-domain
Automated Staging of Spheno-Occipital Synchondrosis Fusion via Landmark-Guided Knowledge Distillation
Closed-Set Speaker Identification using Few-Shot Transductive Learning
Feature selection and time regression software: Application on predicting Alzheimer's disease progress
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy
A seamless Web integration of adaptive HTTP streaming
Tracking of a Brownian phase with linear drift: Algorithms and performances
Post-correlation signal analysis to detect spoofing attacks in GNSS receivers
Parallel implementations of beamforming design and filtering for microphone array applications
A bit-serial architecture for H.264/AVC interframe decoding
p-th Power total variation regularization in photon-limited imaging via iterative reweighting
Multiple Cyber-Threats Containment Via Kendall's Birth-Death-Immigration Model
Combination of phone N-grams for a MPEG-7-based spoken document retrieval system
Parsimonious variational-Bayes mixture aggregation with a Poisson prior
Points of interest extraction using pairwise clustering and spatial features
Performance comparison of the FXLMS, nonlinear FXLMS and leaky FXLMS algorithms in nonlinear active control applications
Fetal ECG subspace estimation based on cyclostationarity
Multiple media cues for MPEG-7
Detection of dynamic primary user with cooperative spectrum sensing
On relative positioning
A simple sequential outlier detection with several residuals
Autonomous Person Detection and Tracking Framework Using Unmanned Aerial Vehicles (UAVs)
An ellipsoid based, two-stage screening test for BPDN
GIPS: Geometry-Inspired Passive ToF Sensing for 3D Depth Reconstruction
CRC-aided iterative optimal detection for MIMO-OFDM systems with linear precoding
Pair-of-sequences SVM speaker verification
Classification of linear and nonlinear modulations using the Baum-Welch algorithm
Small sample statistics of the Yule-Walker method for autoregressive parameter estimation
Blind Traffic Classification in Wireless Networks
Lip feature extraction based on audio-visual correlation
Time-Frequency-Bin-Wise Beamformer Selection and Masking for Speech Enhancement in Underdetermined Noisy Scenarios
A Data Augmentation Approach for Sampling Gaussian Models in High Dimension
Data-dependent partial update adaptive algorithms for linear and nonlinear systems
Joint low-rank representation and matrix completion under a singular value thresholding framework
On The Use of Discrete Cosine Transform Polarity Spectrum in Speech Enhancement
Sampling Graph Signals with Sparse Dictionary Representation
A fast algorithm for maximum likelihood-based fundamental frequency estimation
A study of temporal structure of glottal flow derivative estimates obtained via inverse filtering
Masked non-negative matrix factorization for eire detection using weakly labeled data
Joint frequency and 2-D angle estimation based on vector sensor array with sub-Nyquist temporal sampling
Pilot-symbol-aided iterative channel estimation for OFDM-based systems
Gearbox Fault Diagnosis Using Convolutional Neural Networks And Support Vector Machines
Modelling and manipulation of Polarimetric antenna beam patterns via spherical harmonics
DSP architecture for real time digital video converter
Frequency-domain Feedback Active Noise Control using Weighted LMS Algorithm
CELP coding based on signal classification using the dyadic wavelet transform
Fast Sampling for Large-scale Linear Inverse Problems via Enlarging Principle Submatrix
On the effect of random snapshot timing jitter on the covariance matrix for JADE estimation
Scheduling and precoding in hybrid analog-digital multiantenna spectrum sharing systems
Stacking Deep Learning Models for Early Detection of Wildfire Smoke Plumes
Low complexity MIMO channel estimation for FEXT precompensation in vectored xDSL systems
Maximum a posteriori linear regression for speaker adaptation with the prior of mean
Compressive sensing and random filtering of EEG signals using Slepian basis
On the approximation of nonbandlimited signals by nonuniform sampling series
Lossless video compression using a spatio-temporal optimal predictor
Parameter estimation of Gaussian functions using the scaled reassigned spectrogram
Digital watermarking technique for projective-distorted images using collinear points
Learning Populations of Preferences via Pairwise Comparison Queries
Semiparametric latent factor models
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
Analytic Long-Term Forecasting with Periodic Gaussian Processes
Spectral M-estimation with Applications to Hidden Markov Models
Active Feature Acquisition for Personalised Treatment Assignment
Local Differential Privacy for Sampling
A Stein Goodness-of-fit Test for Directional Distributions
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability
Statistical Learning under Nonstationary Mixing Processes
Probabilistic Forecasting with Spline Quantile Function RNNs
Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation
Conditional diffusions for amortized neural posterior estimation
Two-Sample Test with Kernel Projected Wasserstein Distance
Learning Bayesian Networks is NP-Complete
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs
Learning Tree Structures from Noisy Data
Abstract Value Iteration for Hierarchical Reinforcement Learning
Optimal Transport for Multi-source Domain Adaptation under Target Shift
Learning from Data - Fifth International Workshop on Artificial Intelligence and Statistics, AISTATS 1995, Key West, Florida, USA, January 4-7, 1995. Proceedings
Continuous-Time Decision Transformer for Healthcare Applications
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
Multi-objective Contextual Bandit Problem with Similarity Information
From Gradient Clipping to Normalization for Heavy Tailed SGD
Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible?
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach
The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws
Fast rates with high probability in exp-concave statistical learning
Domain-Size Aware Markov Logic Networks
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability
Calibration Error for Heterogeneous Treatment Effects
Infinite Task Learning in RKHSs
Training a Single Bandit Arm
Diffusion Generative Models in Infinite Dimensions
An approximate KLD based experimental design for models with intractable likelihoods
Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport
Prediction-Oriented Bayesian Active Learning
Does Label Differential Privacy Prevent Label Inference Attacks?
A/B testing under Interference with Partial Network Information
Restarting Frank-Wolfe
FLAG n' FLARE: Fast Linearly-Coupled Adaptive Gradient Methods
Steinmetz Neural Networks for Complex-Valued Data
Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis
The Lauritzen-Chen Likelihood For Graphical Models
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics
More Powerful Selective Kernel Tests for Feature Selection
Identification in Tree-shaped Linear Structural Causal Models
Permutation Invariant Functions: Statistical Testing, Density Estimation, and Metric Entropy
Fair Correlation Clustering
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling
A Constant-Factor Approximation Algorithm for Reconciliation k-Median
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2010, Chia Laguna Resort, Sardinia, Italy, May 13-15, 2010
Efficient Balanced Treatment Assignments for Experimentation
Learning from Multiple Noisy Partial Labelers
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter
Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings
A Shapley-value Guided Rationale Editor for Rationale Learning
Two-Sample Tests for Inhomogeneous Random Graphs in L r Norm: Optimality and Asymptotics
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem
Preferential Attachment in Graphs with Affinities
Learning Graph Node Embeddings by Smooth Pair Sampling
Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular Data
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles
Automatic Differentiation Variational Inference with Mixtures
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees
Adaptive multi-fidelity optimization with fast learning rates
Byzantine-Robust Federated Learning with Optimal Statistical Rates
Sequential no-Substitution k-Median-Clustering
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts
VAE with a VampPrior
Learning Cost-Effective and Interpretable Treatment Regimes
Exact Bayesian Learning of Ancestor Relations in Bayesian Networks
Neural Simulated Annealing
KAMA-NNs: Low-dimensional Rotation Based Neural Networks
Transductive Robust Learning Guarantees
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty
Logistic regression with peer-group effects via inference in higher-order Ising models
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes
Latent Derivative Bayesian Last Layer Networks
Towards Competitive N-gram Smoothing
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling
A Bayes consistent 1-NN classifier
Recursive Learning of Asymptotic Variational Objectives
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning
A Consistent Method for Graph Based Anomaly Localization
Robust hypothesis testing and distribution estimation in Hellinger distance
Multitask Online Learning: Listen to the Neighborhood Buzz
Online Bagging and Boosting
Non-Asymptotic Analysis of Relational Learning with One Network
SDEs for Minimax Optimization
vqSGD: Vector Quantized Stochastic Gradient Descent
Regret Bounds for Transfer Learning in Bayesian Optimisation
Sequential Random Sampling Revisited: Hidden Shuffle Method
Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials
A Sufficient Statistics Construction of Exponential Family Levy Measure Densities for Nonparametric Conjugate Models
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification
Conformal Contextual Robust Optimization
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines
Semi-Supervised Learning with Meta-Gradient
Sketching Transformed Matrices with Applications to Natural Language Processing
Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability
Spectral Methods for Correlated Topic Models
Conditional products: An alternative approach to conditional independence
Deep Generative Quantile Bayes
Provable Hierarchical Imitation Learning via EM
Process-oriented evaluation: The next step
Stochastic Rounding for LLM Training: Theory and Practice
A Change of Variables Method For Rectangular Matrix-Vector Products
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
On the Path to an Ideal ROC Curve: Considering Cost Asymmetry in Learning Classifiers
Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation
Fairness in Submodular Maximization over a Matroid Constraint
Learning the Distribution Map in Reverse Causal Performative Prediction
A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning
The Power of Batching in Multiple Hypothesis Testing
In Defense of Minhash over Simhash
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Determinantal Regularization for Ensemble Variable Selection
DP-EM: Differentially Private Expectation Maximization
Aligning Time Series on Incomparable Spaces
The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling
Nested Barycentric Coordinate System as an Explicit Feature Map
On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization
First Passage Percolation with Queried Hints
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation
Quantifying the accuracy of approximate diffusions and Markov chains
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning
A Comparison of Scientific and Engineering Criteria for Bayesian Model Selection
Representing and Solving Asymmetric Decision Problems Using Valuation Networks
Conditionally Gaussian PAC-Bayes
Learning Tensor Representations for Meta-Learning
Do Bayesian Neural Networks Need To Be Fully Stochastic?
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
The Schrödinger Bridge between Gaussian Measures has a Closed Form
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers
Testing of Horn Samplers