Index for limit

_	limit	_
Active surface modeling at CT resolution	limit	s with micro CT ground truth
Advanced Power Line Diagnostics Using Point Cloud Data: Possible Applications and	limit	s
Analog VLSI Architectures for Motion Processing: From Fundamental	limit	s to System Applications
Analysis of the Impact of Variable Speed	limit	s on Environmental Sustainability and Traffic Performance in Urban Networks
Analysis of V2V Broadcast Performance	limit	for WAVE Communication Systems Using Two-Ray Path Loss Model
Application of Tolerance	limit	s to the Characterization of Image Registration Performance
Approaching the Capacity	limit	in Image Watermarking: A Perspective on Coding Techniques for Data Hiding Applications
Assessing Spatial	limit	s of Sentinel-2 Data on Arable Crops in the Context of Checks by Monitoring
Assessing the	limit	s of centralized unmanned aerial vehicle conflict management in U-Space
Asymptotic	limit	s of video signal processing architectures
Attack as the Best Defense: Nullifying Image-to-image Translation GANs via	limit	-aware Adversarial Attack
automatic method for determining quaternion field boundaries for ball-and-socket joint	limit	s, An
Avoiding Robot Joint	limit	s and Kinematic Singularities in Visual Servoing
Beyond Bjøntegaard:	limit	s of Video Compression Performance Comparisons
Bi-histogram equalization using two plateau	limit	s
Binocular Stereo Algorithm Based on the Disparity-Gradient	limit	and Using Optimization Theory
Boosting Instance Segmentation with Synthetic Data: A study to overcome the	limit	s of real world data sets
Bounding the Distance between a Loop Subdivision Surface and Its	limit	Mesh
Breaking	limit	s of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping
Breaking The	limit	s of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions
C3AE: Exploring the	limit	s of Compact Model for Age Estimation
Capacity and	limit	s of Multimodal Remote Sensing: Theoretical Aspects and Automatic Information Theory-Based Image Selection
Cell imaging beyond the diffraction	limit	using sparse deconvolution spatial light interference microscopy
Combined Variable Speed	limit	and Lane Change Control for Highway Traffic
Combining Airborne Photographs and Spaceborne SAR Data to Monitor Temperate Glaciers: Potentials and	limit	s
Comments on Fundamental	limit	s of Reconstruction-Based Superresolution Algorithms under Local Translation'
Comparing the effects of ramp metering and variable speed	limit	on reducing travel time and crash risk at bottlenecks
Confidence Measurements for Adaptive Bayes Decision Classifier Cascades and Their Application to Us Speed	limit	Detection
Context-Based Image Contrast Enhancement Using Energy Equalization With Clipping	limit	, A
Continuum	limit	s of Nonlocal p-Laplacian Variational Problems on Graphs
Cross-Layer Packet Retry	limit	Adaptation for Video Transport Over Wireless LANs
Cycle-based variable speed	limit	methodology for improved freeway merging
Defining the	limit	s of Spectrally Based Bathymetric Mapping on a Large River
Detection and Imaging of Moving Targets With	limit	SAR Data
Development of a Control Strategy of Variable Speed	limit	s to Reduce Rear-End Collision Risks Near Freeway Recurrent Bottlenecks
Discriminability	limit	s in Spatio-Temporal Stereo Block Matching
Diverse Sample Generation: Pushing the	limit	of Generative Data-Free Quantization
Does Sea Surface Temperature Contribute to Determining Range	limit	s and Expansion of Mangroves in Eastern South America (Brazil)?
Dual Student: Breaking the	limit	s of the Teacher in Semi-Supervised Learning
E2FIF: Push the	limit	of Binarized Deep Imagery Super-Resolution Using End-to-End Full-Precision Information Flow
Effect of UV Scattering on Detection	limit	of SO2 Cameras
Effects of Image Quality on the Fundamental	limit	s of Image Registration Accuracy
Electrooculogram based blink detection to	limit	the risk of eye dystonia
Elevation Gradients	limit	the Antiphase Trend in Vegetation and Its Climate Response in Arid Central Asia
Emission optimised control and speed	limit	for isolated intersections
Energy Detection	limit	s Under Log-Normal Approximated Noise Uncertainty
Energy-efficient train operation with steep track and speed	limit	s: A novel Pontryagin's maximum principle-based approach for adjoint variable discontinuity cases
Energy-minimized wireless video transmissions via sharing of retransmission	limit	s
Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed	limit	Control Using Transfer Learning
Estimation of ergodicity	limit	s of bag-of-words modeling for guaranteed stochastic convergence
EVA: Exploring the	limit	s of Masked Visual Representation Learning at Scale
Evaluating the	limit	s of a LiDAR for an Autonomous Driving Localization
Evaluating the Structural Integrity of the Saint Antonio Barrel Vault In the Fortress of Almeida By Combining Laser Scanner and	limit	Analysis
Evaluation of a variable speed	limit	system using a hierarchical framework under a connected vehicles environment: a case study of a field test in Seattle
Evolution test by improved genetic algorithm with application to performance	limit	evaluation of automatic parallel parking system
Exploring the	limit	s of Species Identification via a Convolutional Neural Network in a Complex Forest Scene through Simulated Imaging Spectroscopy
Exploring the	limit	s of Weakly Supervised Pretraining
Exploring the	limit	s of Zero-Shot Learning: How Low Can You Go?
Exploring the Resolution	limit	for In-Air Synthetic-Aperture Audio Imaging
Extending Nighttime Combustion Source Detection	limit	s with Short Wavelength VIIRS Data
Fault-Tolerant Control of Variable Speed	limit	s for Freeway Work Zone With Recurrent Sensor Faults
From Daguerreotypes to Digital Automatic Photogrammetry. Applications And	limit	s for the Built Heritage Project
Full Bayesian Before-After Analysis of Safety Effects of Variable Speed	limit	System
Fundamental	limit	s of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking
Fundamental	limit	s of Missing Traffic Data Estimation in Urban Networks
Fundamental	limit	s of reconstruction-based superresolution algorithms under local translation
Fundamental	limit	s Of Steganographic Capacity For Multivariate-Quantized-Gaussian-Distributed Multimedia
Fundamental Performance	limit	s in Image Registration
Gaussian RBF Centered Kernel Alignment (CKA) in the Large-Bandwidth	limit
GEN: Pushing the	limit	s of Softmax-Based Out-of-Distribution Detection
Geodesic as	limit	of Geodesics on PL-Surfaces
Global Versus Local MPC Algorithms in Freeway Traffic Control With Ramp Metering and Variable Speed	limit	s
Haptic Steering Support for Driving Near the Vehicle's Handling	limit	s: Test-Track Case
Hierarchical implicit surface joint	limit	s for human body tracking
Hierarchical Implicit Surface Joint	limit	s to Constrain Video-Based Motion Capture
High-Frequency	limit	of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville
How image processing can push electron microscopy to its	limit	s
How much 3D-information can we acquire? optical range sensors at the physical	limit	, and where to apply them
Hybrid approach for variable speed	limit	implementation and application to mixed traffic conditions with connected autonomous vehicles
HybVIO: Pushing the	limit	s of Real-time Visual-inertial Odometry
If dropout	limit	s trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks
Illumination Multiplexing within Fundamental	limit	s
Image-Based Modeling Techniques for Architectural Heritage 3D Digitalization:	limit	s and Potentialities
Imagination-Augmented Reinforcement Learning Framework for Variable Speed	limit	Control
Imaging Below the Diffraction	limit	: A Statistical Analysis
Information	limit	s on neural identification of coloured surfaces in natural scenes
Integrated Cooperative Adaptive Cruise and Variable Speed	limit	Controls for Reducing Rear-End Collision Risks Near Freeway Bottlenecks Based on Micro-Simulations
Know Your	limit	s: Accuracy of Long Range Stereoscopic Object Measurements in Practice
Land Cover Maps Production with High Resolution Satellite Image Time Series and Convolutional Neural Networks: Adaptations and	limit	s for Operational Systems
Learning to Prompt CLIP for Monocular Depth Estimation: Exploring the	limit	s of Human Language
Learning to Push the	limit	s of Efficient FFT-Based Image Deconvolution
Lifetime and Deployment	limit	s for Mobile, 3D-Perceptual Applications
	limit	cycle behavior of error diffusion
	limit	s of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods
	limit	s of brightness and color distortions based on subjective evaluation of stereoscopic images
	limit	s of Colour Perception in the Context of Minimum Dimensions in Digital Cartography
	limit	s of fluidification for a stochastic Petri nets by timed continuous Petri nets
	limit	s of GIS Implementation in Education: A Systematic Review, The
	limit	s of Learning-Based Superresolution Algorithms
	limit	s of Motion-Background Segmentation Using Fundamental Matrix Estimation
	limit	s of Predictability for Large-Scale Urban Vehicular Mobility
	limit	s on Super-Resolution and How to Break Them
	limit	s on the accuracy of 3-D thickness measurement in magnetic resonance images- Effects of voxel anisotropy
	limit	s on the Application of Frequency-Based Language Models to OCR
	limit	s on the Majority Vote Accuracy in Classifier Fusion
LKBQ: Pushing the	limit	of Post-Training Quantization to Extreme 1 bit
Local Feedback-Based Mainstream Traffic Flow Control on Motorways Using Variable Speed	limit	s
Logic-Based Traffic Flow Control for Ramp Metering and Variable Speed	limit	s: Part 1: Controller
M3C2-EP: Pushing the	limit	s of 3D topographic point cloud change detection by error propagation
Magnetostimulation	limit	s in Magnetic Particle Imaging
Mangroves at Their	limit	s: Detection and Area Estimation of Mangroves along the Sahara Desert Coast
Mapping the Northern	limit	of Double Cropping Using a Phenology-Based Algorithm and Google Earth Engine
Measurement of Individual Changes in the Performance of Human Stereoscopic Vision for Disparities at the	limit	s of the Zone of Comfortable Viewing
Method and apparatus for adjusting video data to	limit	the effects of automatic focusing control on motion estimation video coders
Method for recognition of numbers on speed	limit	signs utilizing an eigen space method based on the KL transform
Microsimulation Analysis of Practical Aspects of Traffic Control With Variable Speed	limit	s
Missing the Forest and the Trees: Utility,	limit	s and Caveats for Drone Imaging of Coastal Marine Ecosystems
Multi-resolution Fourier analysis: Time-frequency resolution in excess of Gabor-Heisenberg	limit
Multi-resolution recognition of 3D objects based on visual resolution	limit	s
Multi-Sensor Analysis of Snow Seasonality and a Preliminary Assessment of SAR Backscatter Sensitivity to Arctic Vegetation:	limit	s and Capabilities
Multifluorophore localization as a percolation problem:	limit	s to density and precision
Multimedia content authentication: fundamental	limit	s
Naturalistic Driving Study of Feedback Timing and Financial Incentives in Promoting Speed	limit	Compliance, A
Navigation with Time	limit	s in Transportation Networks: A Fourth Moment Approach
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction	limit
On	limit	Properties in Digitization Schemes
On	limit	s of Embedding in 3D Images Based on 2D Watson's Model
On performance	limit	s of image segmentation algorithms
On the Fundamental	limit	s of Reconstruction-Based Super-resolution Algorithms
On the	limit	s of Fourier Decompositions in Visual Texture Perception
On The	limit	s of Perceptual Quality Measures for Enhanced Underwater Images
On the	limit	s of Pseudo Ground Truth in Visual Camera Re-localisation
On the	limit	s of second generation watermarks
On the performance	limit	of single-hop TOA localization
On the Resolution	limit	s of Superimposed Projection
Optical Systems with Resolving Powers Exceeding the Classical	limit	I
Optical Systems with Resolving Powers Exceeding the Classical	limit	III
Optimal Coordination of Variable Speed	limit	s to Suppress Shock Waves
Optimize the Settings of Variable Speed	limit	System to Improve the Performance of Freeway Traffic
Parallel Architectures Adapted to Image Processing and Their	limit	s
PC-SPSA: Employing Dimensionality Reduction to	limit	SPSA Search Noise in DTA Model Calibration
Per-Lane Variable Speed	limit	and Lane Change Control for Congestion Management at Bottlenecks
Performance	limit	s of Visible Light-Based Positioning for Internet-of-Vehicles: Time-Domain Localization Cooperation Gain
Performance of Camera Translation Direction Estimators from Optical-flow: Analysis, Comparison, and Theoretical	limit	s, The
Persistent Scatterer Interferometry: potential and	limit	s
Piecewise Linear Random Paths on a Plane and a Central	limit	Theorem
Plateau	limit	-based tri-histogram equalisation for image enhancement
PMF: A Stereo Correspondence Algorithm Using a Disparity Gradient	limit
Point Light Source Estimation from Two Images and Its	limit	s
Pose-conditioned joint angle	limit	s for 3D human pose reconstruction
Potential and	limit	s of InSAR data for building reconstruction in built-up areas
Potentials and	limit	s of Vegetation Indices With BRDF Signatures for Soil-Noise Resistance and Estimation of Leaf Area Index
Probing the	limit	s of Anomaly Detectors for Automobiles with a Cyberattack Framework
Pushing the Efficiency	limit	Using Structured Sparse Convolutions
Pushing the	limit	s of Deep CNNs for Pedestrian Detection
Pushing the	limit	s of digital imaging using structured illumination
Pushing the	limit	s of Seagrass Remote Sensing in the Turbid Waters of Elkhorn Slough, California
Pushing the	limit	s of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
Pushing the	limit	s of the Wiener Filter in Image Denoising
Pushing the Performance	limit	of Scene Text Recognizer without Human Annotation
Quadri-histogram equalization using cutoff	limit	s based on the size of each histogram with preservation of average brightness
Rapid Ecosystem Change at the Southern	limit	of the Canadian Arctic, Torngat Mountains National Park
Real-time embedded implementation of robust speed-	limit	sign recognition using a novel centroid-to-contour description method
Real-time railway speed	limit	sign recognition from video sequences
Real-time Speed	limit	Sign Recognition Based on Locally Adaptive Thresholding and Depth-First-Search
Real-Time Speed-	limit	Sign Detection and Recognition Using Spatial Pyramid Feature and Boosted Random Forest
Recovery	limit	s in pointwise degradation
Rehearsal revealed: The	limit	s and merits of revisiting samples in continual learning
Reinforcement learning based mainline dynamic speed	limit	adjustment of expressway off-ramp upstream under connected and autonomous vehicles environment
Reinforcement Learning-Based Variable Speed	limit	Control Strategy to Reduce Traffic Congestion at Freeway Recurrent Bottlenecks
Remote Sensing and Earthquake Damage Assessment: Experiences,	limit	s, and Perspectives
Resolution	limit	s for Band-Limited and Positivity-Constrained 1-D Signals
Resolution	limit	s of closely spaced random signals given the desired success rate
Resolution	limit	s on visual speech recognition
Road Sign Detection and Recognition Using A Fuzzy ARTMAP: A Case Study Swedish Speed-	limit	Signs
Safety assessment of local cooperative warnings and speed	limit	information
Salt Marsh Elevation	limit	Determined after Subsidence from Hydrologic Change and Hydrocarbon Extraction
SAM: Pushing the	limit	s of Saliency Prediction Models
SAR Tomography at the	limit	: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms
SAR-to-Optical Image Translation and Cloud Removal Based on Conditional Generative Adversarial Networks: Literature Survey, Taxonomy, Evaluation Indicators,	limit	s and Future Directions
SAR-to-Optical Image Translation Based on Conditional Generative Adversarial Networks: Optimization, Opportunities and	limit	s
Search space reduction in the edge based stereo matching by context of disparity gradient	limit
Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip	limit	-CLAHE
Sensitivity and Resolution	limit	of Pulse-Echo Diffraction Tomography Imaging Systems
Sheet metal forming	limit	s as classification problem
Sky Is Not the	limit	: Use of a Spray Drone for the Precise Application of Herbicide and Control of an Invasive Plant in Managed Wetlands, The
SNR	limit	s on Kalman Filter Detect-Then-Track
SOBS algorithm: What are the	limit	s?, The
Spatiotemporal Dynamics of the Northern	limit	of Winter Wheat in China Using MODIS Time Series Images
SPC without Control	limit	s and Normality Assumption: A New Method
Speed	limit	Sign Detection Based on Gaussian Color Model and Template Matching
SPERT: A Speed	limit	Strategy for Recurrent Traffic Jams
SSCFormer: Push the	limit	of Chunk-Wise Conformer for Streaming ASR Using Sequentially Sampled Chunks and Chunked Causal Convolution
Stability Analysis of Rocky Slopes on the Cuenca-Giron-Pasaje Road, Combining	limit	Equilibrium Methods, Kinematics, Empirical Methods, and Photogrammetry
Statistical Models of Signal and Noise and Fundamental	limit	s of Segmentation Accuracy in Retinal Optical Coherence Tomography
Subgridded FDTD Modeling of Ground Penetrating Radar Scenarios Beyond the Courant Stability	limit
Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical	limit	s of STEM and STM Microscopy, A
Template-Based Approach for Real-Time Speed-	limit	-Sign Recognition on an Embedded System Using GPU Computing, A
Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging	limit	order book data
Ten-Year Monitoring of the Grandes Jorasses Glaciers Kinematics.	limit	s, Potentialities, and Possible Applications of Different Monitoring Systems
Theoretical	limit	on the Number of Effective Pixels that can be Optically Resolved on a Non-Planar Subject, A
Theories for the design of diffractive superresolution elements and	limit	s of optical superresolution
To boost or not to boost? On the	limit	s of boosted trees for object detection
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection	limit
Towards Theoretical Performance	limit	s of Video Parsing
U.S. speed	limit	sign detection and recognition from image sequences
Using UAV Imagery to Detect and Map Woody Species Encroachment in a Subalpine Grassland: Advantages and	limit	s
Variable Speed	limit	and Ramp Metering Control of Highway Networks Using Lax-Hopf Method: A Mixed Integer Linear Programming Approach
Variable Speed	limit	Control Based on Variable Cell Transmission Model in the Connecting Traffic Environment, A
Veiling glare: the dynamic range	limit	of HDR images
Velocity-Based Path Following Control for Autonomous Vehicles to Avoid Exceeding Road Friction	limit	s Using Sliding Mode Method
Video Retrieval Methods and Their	limit	s
Visual glare	limit	s of HDR displays in medical imaging
Waterfilling Algorithm: An Efficient Approach for Vehicle Velocity Planning With Varying Velocity	limit	s, The
What are the	limit	s to Time Series Based Recognition of Semantic Concepts?
What	limit	s spatial perception with retinal implants?
What	limit	s the Performance of Local Self-attention?

217 for limit

_	limitation	_
3D Object Pose Estimation with Dense Sample Images Discussions about	limitation	of Parameter Estimation Ability by the Linear Regressions
Accounting For Variance In Hyperspectral Data Coming From	limitation	s Of The Imaging System
Accuracy of a Low-Cost Novel Computer-Vision Dynamic Movement Assessment: Potential	limitation	s and Future Directions
Advances in Geographic Object-Based Image Analysis with ontologies: A review of main contributions and	limitation	s from a remote sensing perspective
Allometric Scaling and Resource	limitation	s Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA
Allometric Scaling and Resource	limitation	s Model of Tree Heights: Part 2. Site Based Testing of the Model
Allometric Scaling and Resource	limitation	s Model of Tree Heights: Part 3. Model Optimization and Testing over Continental China
Assessing the Effect of Sensor	limitation	s in Enhanced Flight Vision Systems on Pilot Performance
Automated Updating of Building Data Bases from Digital Surface Models and Multi-Spectral Images: Potential and	limitation	s
Automatic termination and route guide for 3D scanning based on area	limitation
Beyond the	limitation	of monocular 3D detector via knowledge distillation
Biased Mixtures of Experts: Enabling Computer Vision Inference Under Data Transfer	limitation	s
Capabilities and	limitation	s of mono-camera pedestrian-based autocalibration
CCTV Video Analytics: Recent Advances and	limitation	s
Challenges and	limitation	s of Remote Sensing Applications in Northern Peatlands: Present and Future Prospects
Coherent use of opposing lenses for axial resolution increase. II. Power and	limitation	of nonlinear image restoration
Comparison of Vegetation Phenology Derived from Solar-Induced Chlorophyll Fluorescence and Enhanced Vegetation Index, and Their Relationship with Climatic	limitation	s
Constrained Bundle Adjustment Applied To Wing 3d Reconstruction With Mechanical	limitation	s
Correlation of multi-temporal ground-based optical images for landslide monitoring: Application, potential and	limitation	s
Determining the 3-D structure of serial-sectioned microscopic objects: analysis and	limitation	s
DSM and DTM for Extracting 3d Building Models: Advantages and	limitation	s
Dynamic Monitoring of a Mid-Rise Building by Real-Aperture Radar Interferometer: Advantages and	limitation	s
Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent	limitation	s
Empirical insights on the use of sun-induced chlorophyll fluorescence to estimate short-term changes in crop transpiration under controlled water	limitation
Environmental and Sensor	limitation	s in Optical Remote Sensing of Coral Reefs: Implications for Monitoring and Sensor Design
Exploring the	limitation	s of Behavior Cloning for Autonomous Driving
Extensions and	limitation	s of randomized smoothing for robustness guarantees
Feasibility and	limitation	s of Void Detection Using Gravity Gradiometry
Feasibility of Ocean Acoustic Waveguide Remote Sensing (OAWRS) of Atlantic Cod with Seafloor Scattering	limitation	s
Full Reference Image Quality Assessment:	limitation
Fundamental diffraction	limitation	s in a paraxial 4-f imaging system with coherent and incoherent illumination
Fundamental	limitation	s On Projective Invariants Of Planar Curves
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical	limitation	s
Grassland Mowing Detection Using Sentinel-1 Time Series: Potential and	limitation	s
Hand Gesture Estimation and Model Refinement Using Monocular Camera: Ambiguity	limitation	by Inequality Constraints
High-Temporal-Resolution Rock Slope Monitoring Using Terrestrial Structure-from-Motion Photogrammetry in an Application with Spatial Resolution	limitation	s
I Hear, Therefore I Know Where I Am: Compensating for GNSS	limitation	s with Cellular Signals
Image Enhancement by Volume	limitation	in Binary Tomography
Image Processing to Overcome Channel Capacity	limitation	s in Telemicroscopy
Impact and	limitation	s of AR-Based Guidance for Assembly Workers
Inherent	limitation	s on specular highlight analysis
Initialization,	limitation	, and Predictive Coding of the Depth and Texture Quadtree in 3D-HEVC
IoU-uniform R-CNN: Breaking through the	limitation	s of RPN
	limitation	of capsule networks
	limitation	of SAR Quasi-Linear Inversion Data on Swell Climate: An Example of Global Crossing Swells
	limitation	of triangles overlapping in mesh-based motion estimation using augmented Lagrangian
	limitation	s and Challenges of MODIS-Derived Phenological Metrics Across Different Landscapes in Pan-Arctic Regions
	limitation	s and Improvements of the Leaf Optical Properties Model Leaf Incorporating Biochemistry Exhibiting Reflectance and Transmittance Yields (LIBERTY)
	limitation	s in Validating Derived Soil Water Content from Thermal/Optical Measurements Using the Simplified Triangle Method
	limitation	s of Geometric Hashing in the Presence of Gaussian Noise
	limitation	s of Non Model-Based Recognition Schemes
	limitation	s of Post-Hoc Feature Alignment for Robustness
	limitation	s of Predicting Substrate Classes on a Sedimentary Complex but Morphologically Simple Seabed
	limitation	s of Surface-Color and Apparent-Color Constancy
	limitation	s of the SSIM quality metric in the context of diagnostic imaging
Local Analysis of the Image	limitation	s and Uses of Shading
Mapping Ontario's Wind Turbines: Challenges and	limitation	s
MIMO-SAR Interferometric Measurements for Structural Monitoring: Accuracy and	limitation	s
Model	limitation	s and Parameter-Estimation Methods for Agricultural Applications of Polarimetric SAR Interferometry
Motion compensated tree depth	limitation	for complexity control of HEVC encoding
neaning and	limitation	s of protein structure alignments, The
Non-Contact Reflectance Photoplethysmography: Progress,	limitation	s, and Myths
Objective Quality and Intelligibility Prediction for Users of Assistive Listening Devices: Advantages and	limitation	s of existing tools
Opportunities and	limitation	s for Image Based Remote Sensing in Precision Crop Management
Optimal scan for time-varying tomography: I. Theoretical analysis and fundamental	limitation	s
Optimization Dijkstra Algorithm Based on Two-Function	limitation	Strategy, An
Overcoming	limitation	s of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
Overcoming	limitation	s with Landsat Imagery for Mapping of Peat Swamp Forests in Sundaland
Physical	limitation	s on Detecting Tunnels Using Underground-Focusing Spotlight Synthetic Aperture Radar
Possible Land Cover EAGLE Approach to Overcome Remote Sensing	limitation	s in the Alps Based on Sentinel-1 and Sentinel-2: The Case of Aosta Valley (NW Italy), A
Potential and	limitation	of SPOT-5 Ortho-Image Correlation to Investigate the Cinematics of Landslides: The Example of 'Mare a Poule d'Eau' (Reunion, France)
Potential and	limitation	s of a Clustering Approach for the Improved Efficiency of Multiple Endmember Spectral Mixture Analysis in Plant Production System Monitoring, The
Potential and	limitation	s of Grasslands alpha-Diversity Prediction Using Fine-Scale Hyperspectral Imagery
Potential and	limitation	s of Open Satellite Data for Flood Mapping
Potential and	limitation	s of Satellite Altimetry Constellations for Monitoring Surface Water Storage Changes: A Case Study in the Mississippi Basin
Potential and	limitation	s of Terrestrial Laser Scanning For Discontinuity Roughness Estimation
Potential of Space-Borne Hyperspectral Data for Biomass Quantification in an Arid Environment: Advantages and	limitation	s
Potentialities and	limitation	s of Research on VHRS Data: Alexander the Great's Military Camp at Gaugamela on the Navkur Plain in Kurdish Iraq as a Test Case
Potentials and	limitation	s of Moon-Borne SAR Imaging
Potentials and	limitation	s of SAR image simulators: A comparative study of three simulation approaches
Potentials and	limitation	s of WorldView-3 Data for the Detection of Invasive Lupinus polyphyllus Lindl. in Semi-Natural Grasslands
Practical Effectiveness of Advanced Driver Assistance Systems at Different Roadway Facilities: System	limitation	, Adoption, and Usage, The
Problems And	limitation	s of Satellite Image Orientation For Determination of Height Models
Progress and	limitation	s in the Satellite-Based Estimate of Burnt Areas
Projective Geometry Based Image Reconstruction:	limitation	s and Applicability Constraints
Quantitative Analysis of Performance Decrease and Fast-Charging	limitation	for Lithium-Ion Batteries at Low Temperature Based on the Electrochemical Model
Real-time Wildfire Detection From Space - a Trade-off Between Sensor Quality, Physical	limitation	s and Payload Size
Remote Sensing in Agriculture: Accomplishments,	limitation	s, and Opportunities
Remotely Sensed Water	limitation	in Vegetation: Insights from an Experiment with Unmanned Aerial Vehicles (UAVs)
Reverse, Sub-Pixel Block Matching: Applications within H.264 and Analysis of	limitation	s
Role of Satellite InSAR for Landslide Forecasting:	limitation	s and Openings, The
Saliency Prediction in the Deep Learning Era: Successes and	limitation	s
Semantic View on Planetary Mapping: Investigating	limitation	s and Knowledge Modeling through Contextualization and Composition, A
Sensitivity and	limitation	in Damage Detection for Individual Buildings Using InSAR Coherence: A Case Study in 2016 Kumamoto Earthquakes
Sensitivity Study of POD Using Dual-Frequency GPS for CubeSats Data	limitation	and Resources, A
Sharpness	limitation	s in the projection of thin lines by use of the Talbot experiment
Signal-to-noise ratio	limitation	s for intensity correlation imaging
Significance of Visual	limitation	s in Automated Pattern Recognition Applications
Simple Algorithm for Deriving an NDVI-Based Index Compatible between GEO and LEO Sensors: Capabilities and	limitation	s in Japan, A
Softposit for Augmented Reality in Complex Environments:	limitation	s and Challenges
Statistical Assessments of InSAR Tropospheric Corrections: Applicability and	limitation	s of Weather Model Products and Spatiotemporal Filtering
Strengths and	limitation	s in Using the Daily MODIS Open Water Likelihood Algorithm for Identifying Flood Events, The
Study of the Application and the	limitation	s of GPR Investigation on Underground Survey of the Korean Expressways, A
study to identify	limitation	s of existing automated systems to detect glaucoma at initial and curable stage, A
Super-resolution approach to overcome physical	limitation	s of imaging sensors: An overview
Surface Freshwater	limitation	Explains Worst Rice Production Anomaly in India in 2002
Systematic violations of von Kries rule reveal its	limitation	s for explaining color and lightness constancy
Theoretical	limitation	s of Allan Variance-based Regression for Time Series Model Estimation
Time-Reversal Technique for SAR Focusing of Buried Targets: Theoretical improvements and practical	limitation	s, The
Ultrasonic-Frequency-Based Visualization of Columnar Soft Matter Beyond Wavelength	limitation	s
Unambiguous Wind Direction Estimation Method for Shipborne HFSWR Based on Wind Direction Interval	limitation
Understanding the	limitation	s of CNN-Based Absolute Camera Pose Regression
Video Action Detection: Analysing	limitation	s and Challenges

113 for limitation

_	limited	_
3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification with	limited	Samples
About modeling cultural heritage objects with	limited	computers resources
Accelerated Iterative Band-	limited	Extrapolation Algorithms
Accelerating Existing Non-Blind Image Deblurring Techniques through a Strap-On	limited	-Memory Switched Broyden Method
Acceleration-	limited	Egomotion Estimation
Accurate image reconstruction from few-view and	limited	-angle data in diffraction tomography Virtual Journal
Accurate rapid averaging of multihue ensembles is due to a	limited	capacity subsampling mechanism
Acoustic HMMs to Detect Abnormal Respiration with	limited	Training Data
Active Crowd Counting with	limited	Supervision
adaptive classifier design for high-dimensional data analysis with a	limited	training data set, An
Adaptive Detection in Partially Homogeneous Environment with	limited	Samples Based on Geometric Barycenters
Adaptive OCR with	limited	user feedback
Adaptive wavelet-Galerkin methods for	limited	angle tomography
Advanced Moving Object Detection Algorithm for Automatic Traffic Monitoring in Real-World	limited	Bandwidth Networks, An
Advantages of Selective Change-Driven Vision for Resource-	limited	Systems
Agnostic attribute segmentation of dynamic scenes with	limited	spatio-temporal resolution
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With	limited	Supervision
All-digital 2-channel parallel undersampling and reconstruction of band-	limited	signals
Alternative Design for the Intersections With	limited	Traffic Lanes and Queuing Space, An
Application of MODIS Land Products to Assessment of Land Degradation of Alpine Rangeland in Northern India with	limited	Ground-Based Information
Assessing MODIS GPP in Non-Forested Biomes in Water	limited	Areas Using EC Tower Data
Assessing the Accuracy of Landsat-MODIS NDVI Fusion with	limited	Input Data: A Strategy for Base Data Selection
Attention-Based Residual Network with Scattering Transform Features for Hyperspectral Unmixing with	limited	Training Samples
Automated Analysis of Marine Video with	limited	Data
Automated Learning Framework With	limited	and Cross-Domain Data for Traffic Equipment Detection from Surveillance Videos, An
Automatic Lipreading System for Spoken Digits With	limited	Training Data, An
Automatic Lipreading with	limited	Training Data
Bacon: Band-	limited	Coordinate Networks for Multiscale Scene Representation
Band-	limited	Signal Reconstruction From Irregular Samples With Variable Apertures
Bandwidth	limited	Object Recognition in High Resolution Imagery
Basic Morphological Operations, Band-	limited	Images and Sampling
Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-	limited	Image Denoising
Bayesian networks for spatial learning: a workflow on using	limited	survey data for intelligent learning in spatial agent-based models
Bayesian Reconstruction Using a New Nonlocal MRF Prior for Count-	limited	PET Transmission Scans
Bearings based robot homing with robust landmark matching and	limited	horizon view
Beyond Coarray MUSIC: Harnessing the Difference Sets of Nested Arrays With	limited	Snapshots
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with	limited	Resources
Binary Coding for Partial Action Analysis with	limited	Observation Ratios
Binary Tree Feature Selection Technique for	limited	Training Set Size, A
Black-box Detection of Backdoor Attacks with	limited	Information and Data
Blemish-aware and Progressive Face Retouching with	limited	Paired Data
Boundary Based Supervised Classification of Hyperspectral Images with	limited	Training Samples
Bounded sparse photon-	limited	image recovery
Capacity and Error Estimates for Boolean Classifiers with	limited	Complexity
Change detection in moving-camera videos with	limited	samples using twin-CNN features and learnable morphological operations
Characterization of Multiresolution Models for Real-Time Rendering in GPU-	limited	Environments
City-Wide Traffic Flow Estimation From a	limited	Number of Low-Quality Cameras
CL-GAN: Contrastive Learning-based Generative Adversarial Network for Modality Transfer with	limited	Paired Data
Class of Sampling-Error Free Measures in Oversampled Band-	limited	Images, A
Classification of Time Series of Multispectral Images with	limited	Training Data
Classification of Very-High-Spatial-Resolution Aerial Images Based on Multiscale Features with	limited	Semantic Information
Classifier evaluation under	limited	resources
Clustering in large data sets with the	limited	memory bundle method
Coarse-to-Fine Contrastive Self-Supervised Feature Learning for Land-Cover Classification in SAR Images With	limited	Labeled Data
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very	limited	Annotations
Collaborative Learning of Lightweight Convolutional Neural Network and Deep Clustering for Hyperspectral Image Semi-Supervised Classification with	limited	Training Samples
Color Image Compression and	limited	Display Using Self-Organization Kohonen Map
Coloring With	limited	Data: Few-Shot Colorization via Memory Augmented Networks
Combination of contrast	limited	adaptive histogram equalisation and discrete wavelet transform for image enhancement
Combined training strategy for low-resolution face recognition with	limited	application-specific data
Command Filter-Based Adaptive Practical Prescribed-Time Asymptotic Tracking Control of Autonomous Underwater Vehicles With	limited	Communication Angles
Comments on Optimal Erasure Protection for Scalably Compressed Video Streams With	limited	Retransmission
Communication-Efficient Vertical Federated Learning with	limited	Overlapping Samples
Comparative Study of Angular Extrapolation in Sinogram and Stackgram Domains for	limited	Angle Tomography, A
Comparative Study of Different Variants of Newton-Krylov PDE-Constrained Stokes-LDDMM Parameterized in the Space of Band-	limited	Vector Fields, A
Comparing Remotely-Sensed Surface Energy Balance Evapotranspiration Estimates in Heterogeneous and Data-	limited	Regions: A Case Study of Tanzania's Kilombero Valley
Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using	limited	training data points
Compensating Changes in the Penetration Depth of Pulse-	limited	Radar Altimetry Over the Greenland Ice Sheet
Complementary Data Fusion for	limited	-Angle Tomography
Compusult	limited
Computationally Attractive Reconstruction of Band-	limited	Images from Irregular Samples
Computing Eigen Space from	limited	Number of Views for Recognition
Construction of Diverse Image Datasets From Web Collections With	limited	Labeling
Contrast	limited	fuzzy adaptive histogram equalization for enhancement of brain images
Contrasting augmented features for domain adaptation with	limited	target domain data
Contrasting the Performance of Eight Satellite-Based GPP Models in Water-	limited	and Temperature-Limited Grassland Ecosystems
Contrasting the Performance of Eight Satellite-Based GPP Models in Water-	limited	and Temperature-Limited Grassland Ecosystems
Contrastive Knowledge Transfer for Deepfake Detection with	limited	Data
Contrastive Vision-Language Pre-training with	limited	Resources
Convex Projections Algorithm for Restoration of	limited	-Angle Chromotomographic Images
Convolutional Neural Networks for Visual Information Analysis with	limited	Computing Resources
Correlation filters with	limited	boundaries
Covariance-Matrix Estimation and Classification with	limited	Training Data
Critical Assessment of Cocoa Classification with	limited	Reference Data: A Study in Cote d'Ivoire and Ghana Using Sentinel-2 and Random Forest Model
Critical Survey on Developed Reconstruction Algorithms for Computed Tomography Imaging from a	limited	Number of Projections, A
Crop Classification Based on GDSSM-CNN Using Multi-Temporal RADARSAT-2 SAR with	limited	Labeled Data
Cross-Mix Monitoring for Medical Image Segmentation With	limited	Supervision
Crowd Counting From	limited	Labeled Data Using Active Learning
Crowd Counting With	limited	Labeling Through Submodular Frame Selection
Crucial feature capture and discrimination for	limited	training data SAR ATR
Curvature-Based Ground Vehicle Control of Trailer Path Following Considering Sideslip and	limited	Steering Actuation
Data Augmentation and Spectral Structure Features for	limited	Samples Hyperspectral Classification
Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in	limited	Angle Problems
Deep Learning COVID-19 Features on CXR Using	limited	Training Data Sets
Deep Learning Method for Pavement Crack Identification Based on	limited	Field Images, A
Deep Metric Transfer for Label Propagation with	limited	Annotated Data
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to	limited	-Angle Tomography
Defect Detection from Multi-frequency	limited	Data via Topological Sensitivity
DeLiGAN: Generative Adversarial Networks for Diverse and	limited	Data
Delta Sampling R-BERT for	limited	data and low-light action recognition
Denoising adversarial autoencoders: classifying skin lesions using	limited	labelled training data
Denoising for 3-D Photon-	limited	Imaging Data Using Nonseparable Filterbanks
Dense Disparity Real-Time Stereo Vision Algorithm for Resource-	limited	Systems
Density Map-based vehicle counting in remote sensing images with	limited	resolution
Depth map generation for 2D-to-3D conversion by	limited	user inputs and depth propagation
Design of Massive-MIMO-NOMA With	limited	Feedback
Detecting Anatomical Landmarks From	limited	Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks
Detecting ellipses of	limited	eccentricity in images with high noise levels
Detecting Tear Gas Canisters With	limited	Training Data
Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-	limited	Highway
Determination of Planetary Boundary Layer height with Lidar Signals Using Maximum	limited	Height Initialization and Range Restriction (MLHI-RR)
Developing High-Resolution Crop Maps for Major Crops in the European Union Based on Transductive Transfer Learning and	limited	Ground Data
Diffraction-	limited	superresolution ptychography in the Rayleigh-Sommerfeld regime
DIOR: Deep Iterative Optimization-Based Residual-Learning for	limited	-Angle CT Reconstruction
Discovering human interactions in videos with	limited	data labeling
Discrete and Continuous Band-	limited	Signal Extrapolation
Discrete Band-	limited	Signal Reconstruction From Irregular Samples
Discriminative Cluster Refinement: Improving Object Category Recognition Given	limited	Training Data
Disentangled Representation Learning for OCTA Vessel Segmentation With	limited	Training Data
Display of 3D Anisotropic Images from	limited	-View Computed Tomograms
Distortion	limited	Wavelet Image Codec
Distributed Sum-Rate Optimization for Full-Duplex MIMO System Under	limited	Dynamic Range
Distributed Task Assignment for Multiple Robots Under	limited	Communication Range
Diversity-Sensitive Generative Adversarial Network for Terrain Mapping Under	limited	Human Intervention
DOLCE: A Model-Based Probabilistic Diffusion Framework for	limited	-Angle CT Reconstruction
Domain Invariant Feature Learning Based on Cluster Contrastive Learning for Intelligence Fault Diagnosis With	limited	Labeled Data
Driver Identification Using Deep Generative Model With	limited	Data
Dual Graph Convolutional Network for Hyperspectral Image Classification With	limited	Training Samples
Dual-Branch Extraction and Classification Method Under	limited	Samples of Hyperspectral Images Based on Deep Learning, A
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With	limited	Annotations
Dynamic CT Reconstruction from	limited	Views with Implicit Neural Representations and Parametric Motion Fields
Effects of Inter- and Intra-Specific Interactions on Moose Habitat Selection	limited	by Temperature
Efficient and Accurate Object Detection With Simultaneous Classification and Tracking Under	limited	Computing Power
Efficient appointment information extraction from short messages in mobile devices with	limited	hardware resources
Efficient edge-preserving regularization for	limited	-angle tomography
Efficient Freeway MPC by Parameterization of ALINEA and a Speed-	limited	Area
efficient hyperspectral image classification method for	limited	training data, An
Efficient Multiple-Feature Learning-Based Hyperspectral Image Classification with	limited	Training Samples
Efficient multivariate Skellam shrinkage for denoising photon-	limited	image data: An Empirical Bayes approach
Efficient People Counting with	limited	Manual Interferences
Efficient stereo vision algorithms for resource-	limited	systems
Elimination of Thermal Effects from	limited	Structural Displacements Based on Remote Sensing by Machine Learning Techniques
Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with	limited	In Situ Data
Encoding true-color images with a	limited	palette via soft vector clustering as an instance of dithering multidimensional signals
Enhancing Classification Accuracy on	limited	Data via Unconditional GAN
Enhancing Flood Simulation in Data-	limited	Glacial River Basins through Hybrid Modeling and Multi-Source Remote Sensing Data
Enhancing Real-Time Perception of Quantum	limited	Images from a Doubly Intensified SIT Camera System
Entropic Perturbation Approach to TV-Minimization for	limited	-Data Tomography, An
Errorless restoration algorithms for band-	limited	images
Estimating High Spatial Resolution Air Temperature for Regions with	limited	in situ Data Using MODIS Products
Estimation of Link Travel Time Distribution With	limited	Traffic Detectors
Event-Triggered Coordination for Formation Tracking Control in Constrained Space With	limited	Communication
Exact image reconstruction from a	limited	number of projections
Examining Subject-Dependent and Subject-Independent Human Affect Inference from	limited	Video Data
Explicit Closed-Form Solution to the	limited	-Angle Discrete Tomography Problem for Finite-Support Objects, An
Exploring kernel discriminant analysis for speaker verification with	limited	test data
Extended Observer for Urban Traffic Control Based on	limited	Measurements From Connected Vehicles
Extended-Sampling-Bayesian Method for	limited	Aperture Inverse Scattering Problems
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With	limited	Data
Extracting Causal Visual Features for	limited	Label Classification
Fair Visual Recognition in	limited	Data Regime using Self-Supervision and Self-Distillation
Fast Component Tree Computation for Images of	limited	Levels
Fast Cross Correlation for	limited	Angle Tomographic Data
Fast Facial Image Super-Resolution via Local Linear Transformations for Resource-	limited	Applications
Fast iterative reconstruction of band-	limited	images from non-uniform sampling values
Fast k-space sample selection in MRSI with a	limited	region of support
Fast Tomographic Reconstruction From	limited	Data Using Artificial Neural Networks
FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-	limited	Platforms
Feature Selection When	limited	Numbers of Training Samples are Available
Federated Partially Supervised Learning With	limited	Decentralized Medical Images
FedLID: Self-Supervised Federated Learning for Leveraging	limited	Image Data
Few Views,	limited	Views, Low Dose, Tomographic Image Reconstruction
Few-Shot learning for face recognition in the presence of image discrepancies for	limited	multi-class datasets
Finger-Knuckle-Print Verification Based on Band-	limited	Phase-Only Correlation
Fog Removal from Color Images using Contrast	limited	Adaptive Histogram Equalization
Forecasting Radiation Effects on Wildlife in Japan After the Fukushima Nuclear Accident, Based on	limited	Information of Post-Accident Early Stage in 2011
Formation Control of Multiple Rectangular Agents with	limited	Communication Ranges
Gaussian blur estimation for photon-	limited	images
Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with	limited	Ground Truth
Generalized Likelihood Ratio Test Based Algorithms for Object Recognition in Photon-	limited	Images
Generalized Linear Sampling Method for	limited	Aperture Measurements, The
Generalized symmetric extension for size-	limited	multirate filter banks
Generalizing AUC Optimization to Multiclass Classification for Audio Segmentation With	limited	Training Data
Generation of All-in-Focus Images by Noise-Robust Selective Fusion of	limited	Depth-of-Field Images
Generative Models for License Plate Recognition by using a	limited	Number of Training Samples
genetic approach to	limited	data tomographic reconstruction of time-resolved energy spectrum of short-pulsed neutron sources, A
Geometry-	limited	Diffusion in the Characterization of Geometric Patches in Images
Geopackage Data Format for Collaborative Mapping of Geospatial Datain	limited	Network Environments
gingivitis identification method based on contrast-	limited	adaptive histogram equalization, gray-level co-occurrence matrix, and extreme learning machine, A
Glare-	limited	appearances in HDR images
Globally Convergent Edge-Preserving Regularized Reconstruction: An Application to	limited	-Angle Tomography
GMM Supervectors for	limited	Training Data in Hyperspectral Remote Sensing Image Classification
Graph Theoretical Clustering Based on	limited	Neighbourhood Sets
Gridless Underdetermined DOA Estimation for Mobile Agents with	limited	Snapshots Based on Deep Convolutional Generative Adversarial Network
Guest Editorial: Learning from	limited	annotations for computer vision tasks
HCLR: A hybrid clustering and low-rank regularization-based method for photon-	limited	image restoration
Hierarchical Binary CNNs for Landmark Localization with	limited	Resources
Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With	limited	and Noisy Annotations
Hierarchical Training for Distributed Deep Learning Based on Multimedia Data over Band-	limited	Networks
High Fidelity 3D Reconstructions with	limited	Physical Views
High-performance asic architecture for hysteresis thresholding and component feature extraction in	limited	-resource applications
Highly accurate reconstruction algorithm for bandwidth-	limited	signals and application to fringe signal recovery
How Can Deep Neural Networks Be Generated Efficiently for Devices with	limited	Resources?
How to Practice VQA on a Resource-	limited	Target Domain
Human Motion Recognition With	limited	Radar Micro-Doppler Signatures
If We Did Not Have ImageNet: Comparison of Fisher Encodings and Convolutional Neural Networks on	limited	Training Data
Image Characterization in the Sub-Diffraction-	limited	Regime
Image Design: Generation of a Prescribed Image at the Output of a Band-	limited	System
Image Design: Generation of a Prescribed Image Through a Diffraction-	limited	System with High-Contrast Recording
Image Feature Extraction Using Diameter	limited	Gradient Direction Histograms
image moment method for the	limited	range CT image reconstruction and pattern recognition, The
Image reconstruction from a	limited	number of projections: detection/estimation of multiple discs with unknown radii
Image reconstruction from	limited	Fourier data
Image reconstruction from	limited	range projections using orthogonal moments
Image reconstruction using divergent beams distributed over	limited	angle
Image Segmentation Based on Solving the Flow in the Mesh with the Connections of	limited	Capacities
Image transformation using	limited	reference with application to photo-sketch synthesis
Implementation of Calderon's Method for 3-D	limited	-View EIT, An
Implementation of Level Transformations for Hiding Watermarks in Image Bit-Planes under	limited	Level Changes
Improved kernel-based	limited	-view CT reconstruction VIA anisotropic diffusion
Improved Noise2Noise Denoising with	limited	Data
Improving Backpropagation Learning Under	limited	Precision
Improving Estimation of Evapotranspiration under Water-	limited	Conditions Based on SEBS and MODIS Data in Arid Regions
Improving Out-of-Distribution Generalization in SAR Image Scene Classification with	limited	Training Samples
Improving visual quality in wireless capsule endoscopy images with contrast-	limited	adaptive histogram equalization
Imsense	limited
Incremental Learning of Object Detector with	limited	Training Data
Influence of Perceived Quality by Adjusting Frames Per Second and Bits Per Frame Under the	limited	Bandwidth, The
Influence of Unknown Exterior Samples on Interpolated Values for Band-	limited	Images
Information Extraction from Diffraction	limited	Imagery
Initialization Using Perlin Noise for Training Networks with a	limited	Amount of Data
Instance-Level Heterogeneous Domain Adaptation for	limited	-Labeled Sketch-to-Photo Retrieval
Integrated Resource Assignment and Scheduling Optimization With	limited	Critical Equipment Constraints at an Automated Container Terminal
Integrating Data and Image Domain Deep Learning for	limited	Angle Tomography using Consensus Equilibrium
Interactive Few-Shot Learning:	limited	Supervision, Better Medical Image Segmentation
Interactive handwriting recognition with	limited	user effort
Interruption Probability of Wireless Video Streaming With	limited	Video Lengths
Invariance encoding in sliced-Wasserstein space for image classification with	limited	training data
Inversion of Band-	limited	Discrete Fourier Transforms of Binary Images: Uniqueness and Algorithms
Irrigation Optimization Under a	limited	Water Supply by the Integration of Modern Approaches into Traditional Water Management on the Cotton Fields
Iterative maximum likelihood displacement field estimation in quantum-	limited	image sequences
Iterative Residual Optimization Network for	limited	-Angle Tomographic Reconstruction
Iterative Time-	limited	Signal Restoration
Jerk-	limited	Time-Optimal Speed Planning for Arbitrary Paths
Joint Preprocesser-Based Detector for Cooperative Networks with	limited	Hardware Processing Capability
K-L Expansion as an Effective Feature Ordering Technique for	limited	Training Sample Size, The
Kalman Filtering with Optimally Scheduled Measurements in Bandwidth	limited	Communication Media
KD-DLGAN: Data	limited	Image Generation via Knowledge Distillation
Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-	limited	Situation
Landslide Risk Assessment in Eastern Kentucky, USA: Developing a Regional Scale,	limited	Resource Approach
Lazy Flipper: Efficient Depth-	limited	Exhaustive Search in Discrete Graphical Models, The
Learning a	limited	Text Space for Cross-Media Retrieval
Learning Compression from	limited	Unlabeled Data
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting	limited	Samples
Learning face recognition from	limited	training data using deep neural networks
Learning From	limited	or Imperfect Data
Learning Graphs for Knowledge Transfer with	limited	Labels
Learning High-level Features for Satellite Image Classification With	limited	Labeled Samples
Learning of Gaussian Processes in Distributed and Communication	limited	Systems
Learning Shape-Appearance Based Attributes Representation for Facial Attribute Recognition with	limited	Labeled Data
Learning Single-View 3D Reconstruction with	limited	Pose Supervision
Learning Spatial-Semantic Relationship for Facial Attribute Recognition with	limited	Labeled Data
Learning to Count in the Crowd from	limited	Labeled Data
Learning to Rank Image Tags With	limited	Training Examples
Learning With	limited	Labelled Data for Image and Video Understanding
Learning-Based Multi-UAV Flocking Control With	limited	Visual Field and Instinctive Repulsion
LightedDepth: Video Depth Estimation in Light of	limited	Inference View Angles
	limited	Angle Tomography Using Volumetric Constraints
	limited	Color Display for Compressed Image and Video
	limited	Effects of Water Absorption on Reducing the Accuracy of Leaf Nitrogen Estimation
	limited	Ego Motion Recovery, Direction or Heading
	limited	Electrodes Models in Electrical Impedance Tomography Reconstruction
	limited	memory switched Broyden method for faster image deblurring
	limited	Sampling Reference Frame for MaskTrack R-CNN
	limited	value of cophenetic correlation as a clustering criterion, The
	limited	view CT reconstruction and segmentation via constrained metric labeling
	limited	view CT reconstruction via constrained metric labeling
	limited	View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer
	limited	-Angle CT Reconstruction via the L_1/L_2 Minimization
	limited	-Memory Belief Propagation via Nested Optimization
	limited	-Memory Receive Filter Design for Massive MIMO Radar in Signal-Dependent Interference
	limited	-memory, quasi-Newton preconditioner for nonnegatively constrained image reconstruction, A
	limited	-Range Few-View CT: Using Historical Images for ROI Reconstruction in Solitary Lung Nodules Follow-up Examination
	limited	-Samples-Based Crop Classification Using a Time-Weighted Dynamic Time Warping Method, Sentinel-1 Imagery, and Google Earth Engine
Linear Boundary and Corner Detection Using	limited	Number of Sensor Rows
Linear Neural Network for the Solution of	limited	Angle Problems in Computer Aided Tomography
Linear-quadratic noise-smoothing filters for quantum-	limited	images
List-mode EM algorithms for	limited	precision high-resolution PET image reconstruction
Local or Global: Selective Knowledge Assimilation for Federated Learning with	limited	Labels
Logarithmic total variation regularization for cross-validation in photon-	limited	imaging
Lose the Views:	limited	Angle CT Reconstruction via Implicit Sinogram Completion
Low-quality fingerprint recognition using a	limited	ellipse-band-based matching method
Low-resource automatic cartoon image creation from	limited	samples
Mapping corn dynamics using	limited	but representative samples with adaptive strategies
Mapping Main Grain Crops and Change Analysis in the West Liaohe River Basin with	limited	Samples Based on Google Earth Engine
Maximum Likelihood Estimation of Band-	limited	Power Law Spectrums
Measurement of Trabecular Bone Thickness in the	limited	Resolution Regime of In Vivo MRI by Fuzzy Distance Transform
Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With	limited	Environment Knowledge
MetaKernel: Learning Variational Random Features With	limited	Labels
Method of displaying continuous tone picture using	limited	number of different colors or black-and-white levels, and display system therefor
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to	limited	Data Domains
Minimum variance unbiased subpixel centroid estimation of point image	limited	by photon shot noise
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With	limited	Labels
Missing Data Recovery via Deep Networks for	limited	Ground Penetrating Radar Measurements
Mitigating the	limited	View Problem in Photoacoustic Tomography for a Planar Detection Geometry by Regularized Iterative Reconstruction
Ml and bayesian impulse restoration based object recognition in photon	limited	noise
Model-Based Learning for Accelerated,	limited	-View 3-D Photoacoustic Tomography
Model-based Reconstruction of Multiple Circular and Elliptic Objects from a	limited	Number of Projections
Modeling and Extrapolation of Prior Scene Information for Set Theoretic Restoration and Super-resolution of Diffraction-	limited	Images
Modeling QoE for Buffered Video Streaming in Interference-	limited	Cellular Networks
Modified eigenvector-based feature extraction for hyperspectral image classification using	limited	samples
Monitoring and Predicting Agricultural Droughts for a Water-	limited	Subcontinental Region by Integrating a Land Surface Model and Microwave Remote Sensing
MTGLS: Multi-Task Gaze Estimation with	limited	Supervision
MugNet: Deep Learning for Hyperspectral Image Classification Using	limited	Samples
Multi exposure image fusion based on exposure correction and input refinement using	limited	low dynamic range images
Multi-Cue Semi-Supervised Color Constancy With	limited	Training Samples
Multi-stream 3D CNN structure for human action recognition trained by	limited	data
Multi-Task Learning for Video Surveillance with	limited	Data
Multi-Task Multi-modal Semantic Hashing for Web Image Retrieval with	limited	Supervision
Multi-template GAT correlation for character recognition with a	limited	quantity of data
Multi-template GAT/PAT Correlation for Character Recognition with a	limited	Quantity of Data
Multichannel Restoration with	limited	A Priori Information
Multiobjective Genetic SVM Approach for Classification Problems With	limited	Training Samples, A
Multiobjective-Based Sparse Representation Classifier for Hyperspectral Imagery Using	limited	Samples
Multiscale Photon-	limited	Spectral Image Reconstruction
Multitask Deep Learning Reconstruction and Localization of Lesions in	limited	Angle Diffuse Optical Tomography
Mumford-Shah-ATV functional for	limited	angle tomography
Mumford-Shah-Like Method for	limited	Data Tomography with an Application to Electron Tomography, A
Neural Network Pruning With Residual-Connections and	limited	-Data
New Approaches to Design and Control of Time	limited	Search Algorithms
New Compact Delay, Doppler Stretch and Phase Estimation CRB with a Band-	limited	Signal for Generic Remote Sensing Applications, A
New method and circuit for processing of band-	limited	periodic signals
Noniterative Coordinated Beamforming for Multiuser MIMO Systems With	limited	Feedforward
Nonparametric empirical Bayes estimation for multiplicative multiscale innovation in photon-	limited	imaging
Nonparametric feature extraction for classification of hyperspectral images with	limited	training samples
Normalised gamma transformation-based contrast-	limited	adaptive histogram equalisation with colour correction for sand-dust image enhancement
note on exact image reconstruction from a	limited	number of projections, A
novel alternative algorithm for	limited	angle tomography, A
Novel block truncation coding of image sequences for	limited	-color display
Novel encoding technology for ultrafast MRI in a	limited	spatial region
Novel Iterative Optimizing Quantization Technique and Its Application to X-Ray Tomographic Microscopy for 3-Dimensional Reconstruction from a	limited	Number of Views
novel local thresholding algorithm for trabecular bone volume fraction mapping in the	limited	spatial resolution regime of in vivo MRI, A
Object Class Recognition and Localization Using Sparse Features with	limited	Receptive Fields
Object Restoration in a Diffraction	limited	Imaging System
OESA-UNet: An Adaptive and Attentional Network for Detecting Diverse Magnetopause under the	limited	Field of View
Offshore Oil Platform Detection in Polarimetric SAR Images Using Level Set Segmentation of	limited	Initial Region and Convolutional Neural Network
OIC-MCE: A Practical Land Cover Mapping Approach for	limited	Samples Based on Multiple Classifier Ensemble and Iterative Classification
On a	limited	-view reconstruction problem in diffraction tomography
On Feature Extraction for	limited	Class Problem
On scanning techniques for lossless image coding with	limited	context supports
On the Performance and Scalability of a GPU-	limited	Commodity Cluster
On the Reconstruction of Band-	limited	Multidimensional Signals from Algebraic Sampling Contours
On the Secrecy of Interference-	limited	Networks under Composite Fading Channels
On Theory and Regularization of Scale-	limited	Extrapolation
Optical Flow Training Under	limited	Label Budget via Active Learning
Optimal erasure protection for scalably compressed video streams with	limited	retransmission
Optimal erasure protection for scalably compressed video streams with	limited	retransmission on channels with IID and bursty loss characteristics
Optimal k-space sampling in MRSI for images with a	limited	region of support
Optimal Multilevel Thresholding for Image Segmentation Using Contrast-	limited	Adaptive Histogram Equalization and Enhanced Convergence Particle Swarm Optimization
Optimal PET Protection for Streaming Scalably Compressed Video Streams With	limited	Retransmission Based on Incomplete Feedback
Optimization for	limited	angle tomography in medical image processing
Optimized Landing of Drones in the Context of Congested Air Traffic and	limited	Vertiports
PAMELA: Pattern Matching Engine with	limited	-Time Update for NIDS/NIPS
Pareto-Based Method for High Efficiency Video Coding With	limited	Encoding Time
Parking Planning Under	limited	Parking Corridor Space
Peak-Finding with	limited	Hierarchical Memory
Per-pixel land cover accuracy prediction: A random forest-based method with	limited	reference sample data
Personalized production of basketball videos from multi-sensored data under	limited	display resolution
Perspective Flow Aggregation for Data-	limited	6D Object Pose Estimation
Phase Field Method for Tomographic Reconstruction from	limited	Data, A
Photometric Correction of Chang'E-1 Interference Imaging Spectrometer's (IIM)	limited	Observing Geometries Data with Hapke Model
Photon-	limited	image denoising by inference on multiscale models
Photon-	limited	Object Detection using Non-local Feature Matching and Knowledge Distillation
Platelets for multiscale analysis in photon-	limited	imaging
Platelets: a multiscale approach for recovering edges and surfaces in photon-	limited	medical imaging
Poisson-Haar Transform: A nonlinear multiscale representation for photon-	limited	image denoising
Posture-based Infant Action Recognition in the Wild with Very	limited	Data
Potential of Hybrid CNN-RF Model for Early Crop Mapping with	limited	Input Data
Potts model for	limited	angle tomography
Practical Detection of Trojan Neural Networks: Data-	limited	and Data-free Cases
Pre-training Vision Transformers with Very	limited	Synthesized Images
Prior Knowledge-Based Method to Derivate High-Resolution Leaf Area Index Maps with	limited	Field Measurements, A
Prior Model for Bone Microarchitecture Reconstrution with a Very	limited	Number of Projections, A
Programmable H.263 Based Wireless Video Transceivers for Interference	limited	Environments
Progressive Refinement Learning Based on Feature Interactive Fusion for Semantic Segmentation of Remote Sensing	limited	Dataset
Pruning rPPG Networks: Toward Small Dense Network with	limited	Number of Training Samples
Quantitative analysis of facial paralysis based on	limited	-orientation modified circular Gabor filters
Quantized Antenna Combining for Multiuser MIMO-OFDM With	limited	Feedback
Quasi-Band-	limited	Properties of Radon Transforms and Their Implications for Increasing Angular Sampling Densities
Radar HRRP Target Recognition Based on Dynamic Learning with	limited	Training Data
Radar imaging of three-dimensional surfaces using	limited	data
Radar-Based Human Activity Recognition Under the	limited	Measurement Data Support Using Domain Translation
Random Access in C-RAN for User Activity Detection With	limited	-Capacity Fronthaul
Ranking-Based Color Constancy With	limited	Training Samples
Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under	limited	Resources Constraint
Real time complex event detection for resource-	limited	multimedia sensor networks
Real-Time Background Compensation for PTZ Cameras Using GPU Accelerated and Range-	limited	Genetic Algorithm Search
Real-time dynamic vehicle detection on resource	limited	mobile platform
Real-time Lightweight CNN in Robots with Very	limited	Computational Resources: Detecting Ball in NAO
Real-Time Safety Assessment for Dynamic Systems With	limited	Memory and Annotations
Real-World Recognition from Inputs With	limited	Quality
Reciprocal Subpixel Motion Estimation: Video Coding With	limited	Hardware Resources
Recognition of multiple configurations of objects with	limited	data
Recognition of Partial Planar Shapes in	limited	Memory Environments
Reconstruction From	limited	-Angle Projections Based on delta-u Spectrum Analysis
Reconstruction of compact binary images from	limited	Fourier amplitude data
Reconstruction of smooth distributions within unsmooth circumferences from	limited	views using filtered-backprojection algorithm
Reconstruction of tomographic images from	limited	range projections using discrete Radon transform and Tchebichef moments
Recovering elastic property of soft tissues using 2d image sequences with	limited	range data
Recovery of	limited	-extent images aliased because of spectral undersampling
Regional Gravity Field Modeling Using Band-	limited	SRBFs: A Case Study in Colorado
Regularisation of the	limited	data computed tomography problem via the boundary element method
Regularizing Generative Adversarial Networks under	limited	Data
Reliable Crops Classification Using	limited	Number of Sentinel-2 and Sentinel-1 Images
ReLiSCE: Utilizing Resource-	limited	Sensors for Office Activity Context Extraction
ReMix: Towards Image-to-Image Translation with	limited	Data
Remotely Sensed Agroclimatic Classification and Zoning in Water-	limited	Mediterranean Areas towards Sustainable Agriculture
Removing Backdoor-Based Watermarks in Neural Networks with	limited	Data
Representation Learning with Very	limited	Images: The Potential of Self-, Synthetic- and Formula-Supervision
Residential Extraction Based on Weakly-Supervised Similarity-Aware Multi-Source Alignment Strategy with	limited	SAR Data
Resolution Limits for Band-	limited	and Positivity-Constrained 1-D Signals
Review of stereo vision algorithms and their suitability for resource-	limited	systems
Robust face recognition with partial occlusion, illumination variation and	limited	training data by optimal feature selection
Robust Generalization Against Photon-	limited	Corruptions via Worst-Case Sharpness Minimization
Robust MMSE Beamforming for Multiuser MISO Systems With	limited	Feedback
Robust Multigroup Multicast Beamforming Design for Backhaul-	limited	Cloud Radio Access Network
Robust Multimodal Person Identification With	limited	Training Data
Robust Triangular Sigmoid Pattern-Based Obstacle Detection Algorithm in Resource-	limited	Devices, A
Rotation Awareness Based Self-Supervised Learning for SAR Target Recognition With	limited	Training Samples
Rotation XGBoost Based Method for Hyperspectral Image Classification with	limited	Training Samples
Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With	limited	Training Samples
SAGE: Sequential Attribute Generator for Analyzing Glioblastomas Using	limited	Dataset
Sam's Net: A Self-Augmented Multistage Deep-Learning Network for End-to-End Reconstruction of	limited	Angle CT
Scale-aware	limited	deformable convolutional neural networks for traffic sign detection and classification
Scaling Theorems for Zero Crossings of Band-	limited	Signals
Scene Graph Prediction With	limited	Labels
ScoreMix: A Scalable Augmentation Strategy for Training GANs With	limited	Data
SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with	limited	Data. Part I: Development and Validation
SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with	limited	Data. Part II: Test for Transferability
Secure Client Side Watermarking with	limited	Key Size
Segmenting the Subthalamic Nucleus Using Narrow Band	limited	Variational Level Set Method
Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with	limited	Labels
Self Supervised StyleGAN for Image Annotation and Classification With Extremely	limited	Labels, A
Self-Driven Dual-Path Learning for Reference-Based Line Art Colorization Under	limited	Data
Self-Path: Self-Supervision for Classification of Pathology Images With	limited	Annotations
Self-supervised Learning for Fine-grained Ethnicity Classification under	limited	Labeled Data
Self-Supervised Learning for Texture Classification Using	limited	Labeled Data
Self-training and multi-task learning for	limited	data: Evaluation study on object detection
SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations between a Person and a	limited	Agent, The
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From	limited	Training Data
Semi-automatic ground truth generation using unsupervised clustering and	limited	manual labeling: Application to handwritten character recognition
Shape Detection with	limited	Memory
Shoestring: Graph-Based Semi-Supervised Classification With Severely	limited	Labeled Data
Signal Processing for High-Throughput Satellites: Challenges in new interference-	limited	scenarios
single octave SIFT algorithm for image feature extraction in resource	limited	hardware systems, A
Sinogram Image Completion for	limited	Angle Tomography With Generative Adversarial Networks
Size-	limited	filter banks for subband image compression
Skellam distribution based adaptive two-stage non-local methods for photon-	limited	poisson noisy image reconstruction
Slim UNETR: Scale Hybrid Transformers to Efficient 3D Medical Image Segmentation Under	limited	Computational Resources
Smart Sensors	limited
space-frequency algorithm for	limited	angle tomography, A
Sparse Representation Based Face Recognition with	limited	Labeled Samples
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With	limited	Training Data
Speaker-Independent Lipreading With	limited	Data
Special Issue on Video Analysis on Resource-	limited	Systems
Special Issue Retraction: Innovative approach for multimodal fusion recognition based feature extraction using band-	limited	phase-only correlation and discrete orthonormal Stockwell transform
SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with	limited	Labeled Data
SRL: Separation-and-Recombination Learning for Video Facial Landmark Detection with	limited	Data
Stacking of Canopy Spectral Reflectance from Multiple Growth Stages Improves Grain Yield Prediction under Full and	limited	Irrigation in Wheat
Stationary wavelet-based intensity models for photon-	limited	imaging
statistical analysis of diffraction-	limited	imaging, A
STN: Stochastic Triplet Neighboring Approach to Self-supervised Denoising from	limited	Noisy Images
Structured Kernel Estimation for Photon-	limited	Deconvolution
study of artificial speech quality assessors of VoIP calls subject to	limited	bursty packet losses, A
Superresolution imaging from	limited	-aperture optical diffracted field data
Suppression of contour perception by band-	limited	noise and its relation to non-classical receptive field inhibition
Surface generation for virtual reality displays with a	limited	polygonal budget
Swift and Memory Efficient Hough Transform for Systems with	limited	Fast Memory, A
Synthesis of Stereoscopic 3D Videos by	limited	Resources of Range Images
Temporal Repetition Detector for Time Series of Spectrally	limited	Satellite Imagers
Texture Synthesis-by-analysis with Hard-	limited	Gaussian Processes
Theoretical Investigation of Random Noise-	limited	Signal-to-Noise Ratio in MR-Based Electrical Properties Tomography
Thoracic Disease Identification and Localization with	limited	Supervision
Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at	limited	locations
Towards a category-extended object detector with	limited	data
Towards a Universal and	limited	Visual Vocabulary
Towards Low-Bit Quantization of Deep Neural Networks with	limited	Data
Towards Robust Colour Texture Classification with	limited	Training Data
Traffic Flow Prediction for Road Transportation Networks With	limited	Traffic Data
Training Convolutional Neural Networks with	limited	Training Data for Ear Recognition in the Wild
Training Strategy for	limited	Labeled Data by Learning from Confusion
Transfer learning for one class SVM adaptation to	limited	data distribution change
Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with	limited	Labeled Data
Transferring GANs: Generating Images from	limited	Data
Transient Wave Imaging with	limited	-View Data
Transmission of the color information using quad-trees and segmentation-based approaches for the compression of color images with	limited	palette
Trimix: A General Framework for Medical Image Segmentation from	limited	Supervision
TVR-DART: A More Robust Algorithm for Discrete Tomography From	limited	Projection Data With Automated Gray Value Estimation
Two-dimensional filter bank design for optimal reconstruction using	limited	subband information
UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and	limited	Memory
Unconstrained Handprint Recognition Using a	limited	Lexicon
Unrestricted Black-box Adversarial Attack Using GAN with	limited	Queries
Unsupervised Learning From	limited	Available Data by ß-NMF and Dual Autoencoder
Unsupervised Pre-Trained, Texture Aware and Lightweight Model for Deep Learning Based Iris Recognition Under	limited	Annotated Data
Variable Aperture Light Field Photography: Overcoming the Diffraction-	limited	Spatio-Angular Resolution Tradeoff
Vegetation-	limited	Ground-to-Air Surveillance
Versatile Weight Attack via Flipping	limited	Bits
Vibration-Based Uncertainty Estimation for Learning from	limited	Supervision
Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset with	limited	Computational Resources
Vision-Based Treatment Localization with	limited	Data: Automated Documentation of Military Emergency Medical Procedures
Visual Learning With	limited	Labels: Zero-Shot, Few-Shot, Any-Shot, and Cross-Domain Few-Shot Learning
Visualization of arbitrary-shaped 3D scenes on depth-	limited	3D displays
Volume segmentation using convolutional neural networks with	limited	training data
Water Balance Modeling in a Semi-Arid Environment with	limited	in situ Data Using Remote Sensing in Lake Manyara, East African Rift, Tanzania
Waveform-Encoded SAR Implementation Using a	limited	Number of Cyclically Shifted Chirps, A
Wavelet-Based Reconstruction for	limited	-Angle X-Ray Tomography
Weighted Large Margin Nearest Center Distance-Based Human Depth Recovery With	limited	Bandwidth Consumption
Wheat Yield Prediction Using Unmanned Aerial Vehicle RGB-Imagery-Based Convolutional Neural Network and	limited	Training Samples

518 for limit

_	limiter	_
Reported use of speed control systems: cruise control and speed	limiter

_	limiting	_
Bit-shrinking:	limiting	Instantaneous Sharpness for Improving Post-training Quantization
Eigenvalue Distribution of Discrete Periodic Time-Frequency	limiting	Operators, The
	limiting	Accuracy of Height Measurement for a Precision Radar Altimeter in a Low Altitude Flying Vehicle above the Sea Surface
	limiting	Aspects of Nonconvex TV-phi Models
	limiting	External Absorptivity of UAV-Based Uncooled Thermal Infrared Sensors Increases Water Temperature Measurement Accuracy
	limiting	the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
	limiting	the Search Range of Correlation Stereo Using Silhouettes
Modification of Hard-	limiting	Multilayer Neural Networks for Confidence Evaluation
novel intensity	limiting	approach to Metal Artefact Reduction in 3D CT baggage imagery, A
Raster Data Based Automated Noise Data Integration for Noise Mapping	limiting	Data Dependency
Reducing the Variance of Variational Estimates of Mutual Information by	limiting	the Critic's Hypothesis Space to RKHS
Spatial and Seasonal Patterns in Vegetation Growth-	limiting	Factors over Europe
Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by	limiting	Spiking Activity via Attention-Guided Compression
Track Everything:	limiting	Prior Knowledge in Online Multi-Object Recognition

14 for limiting

_	limitless	_
Designing	limitless	Path in Virtual Reality Environment

_	limitr	_
	limitr	: Leveraging Local Information for Medical Image-Text Representation

Index for "l"