Index for elda

Eldada, L.[Louay] Co Author Listing * LiDAR for Autonomous Vehicles: The future of 3D Sensing and Perception

Eldar, Y.[Yuval] Co Author Listing * email: Eldar, Y.[Yuval]: yeldar AT vnet ibm com
* DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering
* Farthest Point Strategy for Progressive Image Sampling, The
* Probabilistic Hough Transform, A
* SPARCOM: Sparsity Based Super-resolution Correlation Microscopy
Includes: Eldar, Y.[Yuval] Eldar, Y.[Yonina] Eldar, Y.

Eldar, Y.C. Co Author Listing * Adaptive Ultrasound Beamforming Using Deep Learning
* Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
* Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks
* Bitat: Neural Network Binarization with Task-dependent Aggregated Transformation
* Clutter Removal in Sub-Nyquist Radar
* Convergent Neural Network for Non-Blind Image Deblurring, A
* Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction
* Deep Learning in Ultrasound Imaging
* Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow: Editorial for the 2nd Special Issue Machine Learning for Image Reconstruction
* Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound
* Deep Unrolled Recovery in Sparse Biological Imaging: Achieving fast, accurate results
* Dictionary Learning for Adaptive GPR Landmine Classification
* Fast Vascular Ultrasound Imaging With Enhanced Spatial Resolution and Background Rejection
* FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
* Global Optimization Geometry of Shallow Linear Neural Networks, The
* Image Restoration by Deep Projected GSURE
* Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19
* Interpretable Neural Networks for Video Separation: Deep Unfolding RPCA With Foreground Masking
* Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies
* Multimodal Unrolled Robust PCA for Background Foreground Separation
* Noise Folding in Compressed Sensing
* Non-Coherent Direction of Arrival Estimation from Magnitude-Only Measurements
* On the Uniqueness of FROG Methods
* Phase retrieval of sparse signals using optimization transfer and ADMM
* Phase Retrieval via Matrix Completion
* Phase Retrieval with Application to Optical Imaging: A contemporary overview
* Physics-Embedded Machine Learning for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods
* Power-Efficient Cameras Using Natural Image Statistics
* Recent Advances in Phase Retrieval
* Recovery of Sparse Positive Signals on the Sphere from Low Resolution Measurements
* Robust and Consistent Sampling
* Sparse Phase Retrieval from Short-Time Fourier Measurements
* SPURS Algorithm for Resampling an Irregularly Sampled Signal onto a Cartesian Grid, The
* Sub-Nyquist Radar Systems: Temporal, Spectral, and Spatial Compression
* Sub-Nyquist SAR via Fourier Domain Range-Doppler Processing
* Super-Resolution Ultrasound Localization Microscopy Through Deep Learning
* Super-Resolved Imaging of Early-Stage Dynamics in the Immune Response
* TenDSuR: Tensor-Based 4D Sub-Nyquist Radar
* Viterbi Algorithm for Subset Selection, The
Includes: Eldar, Y.C. Eldar, Y.C.[Yonina C.]
39 for Eldar, Y.C.

Eldardiry, H.[Hisham] Co Author Listing * Examining the Robustness of a Spatial Bootstrap Regional Approach for Radar-Based Hourly Precipitation Frequency Analysis
* Fusion Approach for Water Area Classification Using Visible, Near Infrared and Synthetic Aperture Radar for South Asian Conditions, A
Includes: Eldardiry, H.[Hisham] Eldardiry, H.

Eldawy, A.[Ahmed] Co Author Listing * LandQv2: A MapReduce-Based System for Processing Arable Land Quality Big Data
* Skewness-Based Partitioning in SpatialHadoop

Eldawy, E.O.[Eman O.] Co Author Listing * FraudMove: Fraud Drivers Discovery Using Real-Time Trajectory Outlier Detection

Index for "e"

Last update:18-Apr-24 12:11:55
Use for comments.