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Showing 751–800 of 1719 papers

TitleStatusHype
High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model—0
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality—0
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality—0
High dimensional Sparse Gaussian Graphical Mixture Model—0
High-Dimensional Structured Quantile Regression—0
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm—0
Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation—0
FlexDTI: Flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning—0
High-Frequency-Based Volatility Model with Network Structure—0
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features—0
High-Resolution Channel Sounding and Parameter Estimation in Multi-Site Cellular Networks—0
HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count—0
Fast and Reliable Parameter Estimation from Nonlinear Observations—0
Homodyned K-Distribution Parameter Estimation in Quantitative Ultrasound: Autoencoder and Bayesian Neural Network Approaches—0
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?—0
How did Donald Trump Surprisingly Win the 2016 United States Presidential Election? an Information-Theoretic Perspective (Clean Sensing for Big Data Analytics:Optimal Strategies,Estimation Error Bounds Tighter than the Cramér-Rao Bound)—0
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation—0
Brain tumor segmentation with missing modalities via latent multi-source correlation representation—0
How to quantify fields or textures? A guide to the scattering transform—0
Human Memory Search as Initial-Visit Emitting Random Walk—0
Fast and Efficient Sequential Radar Parameter Estimation in MIMO-OTFS Systems—0
Hybrid Digital-Analog Beamforming and MIMO Radar with OTFS Modulation—0
Hybrid mmWave MIMO Systems under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-aided Configuration—0
Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks—0
Fast and Efficient Estimation of Resonant Modes: A Case Study of Mechanical Drivelines—0
Hydraulic Parameter Estimation for District Heating Based on Laboratory Experiments—0
Hydraulic Parameter Estimation in District Heating Networks—0
Hyper-parameter estimation method with particle swarm optimization—0
Borrowing Strength in Distributionally Robust Optimization via Hierarchical Dirichlet Processes—0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
Families of Parsimonious Finite Mixtures of Regression Models—0
Identifiability and optimal rates of convergence for parameters of multiple types in finite mixtures—0
Identifiability Implies Robust, Globally Exponentially Convergent On-line Parameter Estimation: Application to Model Reference Adaptive Control—0
Factorization Machines—0
Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition—0
Identification of non-causal systems with random switching modes (Extended Version)—0
Identification of Phase-Locked Loop System From Its Experimental Time Series—0
Boosted-SpringDTW for Comprehensive Feature Extraction of Physiological Signals—0
Identifying Terrain Physical Parameters from Vision -- Towards Physical-Parameter-Aware Locomotion and Navigation—0
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model—0
Bloch Equation Enables Physics-informed Neural Network in Parametric Magnetic Resonance Imaging—0
An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification—0
Advances in Temporal Point Processes: Bayesian, Deep, and LLM Approaches—0
Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations—0
A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers—0
3D Room Geometry Inference from Multichannel Room Impulse Response using Deep Neural Network—0
On Computationally Efficient Learning of Exponential Family Distributions—0
Implicit Modeling with Uncertainty Estimation for Intravoxel Incoherent Motion Imaging—0
Improved Image Reconstruction and Diffusion Parameter Estimation Using a Temporal Convolutional Network Model of Gradient Trajectory Errors—0
Extremely Large-Scale Dynamic Metasurface Antennas (XL-DMAs): Near-Field Modeling and Channel Estimation—0
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