Solo, V.
* 1986: Modeling of Two-Dimensional Random Fields by Parametric Cepstrum
* 1995: Regularisation of the limited data computed tomography problem via the boundary element method
* 1996: sure-fired way to choose smoothing parameters in ill-conditioned inverse problems, A
* 1997: Data-Driven Method for Choosing Smoothing Parameters in Optical Flow Problems, A
* 1997: Signal Processing Approach to Functional MRI for Brain Mapping, A
* 1998: Choosing the optimal neighbourhood size in optical flow problems with errors-in-variables modelling
* 1998: Regularization for functional MRI models
* 1999: Model Comparison for Functional MRI
* 1999: Optical Flow Estimation using Adaptive Wavelet Zeroing
* 2001: Errors-in-variables modeling in optical flow estimation
* 2001: signal estimation approach to functional MRI, A
* 2003: Spatial wavelets for temporally correlated FMRI
* 2004: FMRI signal modeling using laguerre polynomials
* 2006: Spatially Local and Temporally Smooth PCA for fMRI
* 2012: Identifying fMRI Model Violations With Lagrange Multiplier Tests
* 2013: Tuning Parameter Selection for Underdetermined Reduced-Rank Regression
* 2014: Group Sparsity via SURE Based on Regression Parameter Mean Squared Error
* 2015: Brain Activity: Connectivity, Sparsity, and Mutual Information
* 2015: Selecting the Number of Principal Components with SURE
* 2015: Spatially Sparse, Temporally Smooth MEG Via Vector L_0
* 2018: Connectivity in fMRI: Blind Spots and Breakthroughs
* 2018: On the Reliability of Individual Brain Activity Networks
* 2020: Individual Resting-State Brain Networks Enabled by Massive Multivariate Conditional Mutual Information
Includes: Solo, V. Solo, V.[Victor]
23 for Solo, V.
Solodenko, J.[Juri]
* 2001: Automated Acquisition of Lifelike 3D Human Models from Multiple Posture Data
Solodskikh, K.[Kirill]
* 2022: Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization
* 2022: Towards Accurate Network Quantization with Equivalent Smooth Regularizer
* 2023: Integral Neural Networks
Soloh, R.[Roaa]
* 2022: New descriptors' combination for 3D mesh correspondence and retrieval
Soloiu, V.[Valentin]
* 2022: Comparison and Evaluation of Algorithms for LiDAR-Based Contour Estimation in Integrated Vehicle Safety
Solomatine, D.P.[Dimitri P.]
* 2020: ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite
* 2023: Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review
Solomatnikova, A.[Anna]
* 2022: Measurements and Modelling of Total Ozone Columns near St. Petersburg, Russia
Solomitckii, D.[Dmitrii]
* 2022: Radar Scheme With Raised Reflector for NLOS Vehicle Detection
Solomon, C.[Chris]
* 2011: Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab
* 2012: 3D Town: The Automatic Urban Awareness Project
Includes: Solomon, C.[Chris] Solomon, C.[Chan]
Solomon, C.J.
* 2003: Synthesis of Photographic Quality Facial Composites using Evolutionary Algorithms
* 2006: person-specific, rigorous aging model of the human face, A
* 2006: Towards a semi-automatic method for the statistically rigorous ageing of the human face
Includes: Solomon, C.J. Solomon, C.J.[Christopher J.]
Solomon, E.G.
* 2016: Digital Tomosynthesis System Geometry Analysis Using Convolution-Based Blur-and-Add (BAA) Model
Solomon, E.K.[Elizabeth K.]
* 2002: Radar and Optical Data Comparison/Integration for Urban Delineation: A Case Study
Solomon, F.
* 1991: Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo
* 1992: Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo
* 1994: Illumination Planner for Lambertian Polyhedral Objects, An
* 1995: Illumination Planner for Convex and Concave Lambertian Polyhedral Objects, An
* 1996: Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo
Solomon, F.J.[Fredric J.]
* 1996: Illumination Planning for Photometric Measurements
Solomon, H.M.
* 2019: Evaluation of The Spatial Distribution of Evacuation Centers in Metro Manila, Philippines
Solomon, I.[Indu]
* 2023: Data Generation with Structure Enforcing Adversarial Learning
Solomon, J.
* 2005: Segmentation of Objects in Temporal Images Using the Hidden Markov Model
* 2012: Fast smoothed shock filtering
* 2019: Deep Closest Point: Learning Representations for Point Cloud Registration
* 2020: Deep Parametric Shape Predictions Using Distance Fields
* 2020: Pillar-based Object Detection for Autonomous Driving
* 2021: Polygonal Building Extraction by Frame Field Learning
* 2022: DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
* 2022: Splitting Scheme for Flip-Free Distortion Energies, A
* 2022: Volumetric Parameterization of the Placenta to a Flattened Template
Includes: Solomon, J. Solomon, J.[Justin]
9 for Solomon, J.
Solomon, J.A.
* 1997: Visibility of Wavelet Quantization Noise
* 2017: Improvement of contrast sensitivity with practice is not compatible with a sensory threshold account
Includes: Solomon, J.A. Solomon, J.A.[Joshua A.]
Solomon, O.
* 2017: Fast Vascular Ultrasound Imaging With Enhanced Spatial Resolution and Background Rejection
* 2019: SPARCOM: Sparsity Based Super-resolution Correlation Microscopy
* 2020: Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound
* 2021: Super-Resolution Ultrasound Localization Microscopy Through Deep Learning
Solomon, P.E.[Patricia E.]
* 2009: painful face: Pain expression recognition using active appearance models, The
* 2011: Painful data: The UNBC-McMaster shoulder pain expression archive database
* 2012: Painful monitoring: Automatic pain monitoring using the UNBC-McMaster shoulder pain expression archive database
Solomon, S.S.
* 1993: Machine Vision Applications, Architectures, and Systems Integration II
* 1994: Machine Vision Applications, Architectures, and Systems Integration III
* 1995: Machine Vision Applications, Architectures, and Systems Integration IV
* 1996: Machine Vision Applications, Architectures, and Systems Integration V
* 1997: Machine Vision Applications, Architectures, and Systems Integration VI
* 1998: Machine Vision Systems for Inspection and Metrology VII
* 1999: Machine Vision Systems for Inspection and Metrology VIII
Includes: Solomon, S.S. Solomon, S.S.[Susan S.]
7 for Solomon, S.S.
Solomos, S.[Stavros]
* 2018: Long-Term Ground-Based Measurements of Aerosol Optical Depth over Kuwait City
* 2021: Assessing Sea-State Effects on Sea-Salt Aerosol Modeling in the Lower Atmosphere Using Lidar and In-Situ Measurements
* 2021: Potential of GRASP/GARRLiC Retrievals for Dust Aerosol Model Evaluation: Case Study during the PreTECT Campaign, The
* 2022: Characterization of Extremely Fresh Biomass Burning Aerosol by Means of Lidar Observations
* 2022: Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover
Solomou, A.D.[Alexandra D.]
* 2023: Thorough Evaluation of 127 Potential Evapotranspiration Models in Two Mediterranean Urban Green Sites, A
Solorio Fernandez, S.[Saul]
* 2017: new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach, A
* 2020: Supervised Filter Feature Selection method for mixed data based on Spectral Feature Selection and Information-theory redundancy analysis, A
* 2021: Unsupervised Feature Selection Methodology for Analysis of Bacterial Taxonomy Profiles
Includes: Solorio Fernandez, S.[Saul] Solorio-Fernández, S.[Saúl]
Solorza Calderon, S.[Selene]
* 2015: RFM Pattern Recognition System Invariant to Rotation, Scale and Translation, A
Includes: Solorza Calderon, S.[Selene] Solorza-Calderón, S.[Selene]
Solorzano Espindola, C.E.[Carlos Emiliano]
* 2021: Comparison Study of EEG Signals Classifiers for Inter-subject Generalization, A
Includes: Solorzano Espindola, C.E.[Carlos Emiliano] Solórzano-Espíndola, C.E.[Carlos Emiliano]
Solorzano, J.V.[Jonathan V.]
* 2016: Using Google Earth Surface Metrics to Predict Plant Species Richness in a Complex Landscape
* 2021: How BFAST Trend and Seasonal Model Components Affect Disturbance Detection in Tropical Dry Forest and Temperate Forest
* 2021: Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery
* 2022: Forest Disturbance Detection with Seasonal and Trend Model Components and Machine Learning Algorithms
* 2023: Deforestation detection using a spatio-temporal deep learning approach with synthetic aperture radar and multispectral images
* 2023: Tropical Dry Forest Dynamics Explained by Topographic and Anthropogenic Factors: A Case Study in Mexico
Includes: Solorzano, J.V.[Jonathan V.] Solórzano, J.V.[Jonathan V.]
Solorzano, L.[Leslie]
* 2017: Decoding Gene Expression in 2D and 3D
Solotko, S.[Simon]
* 2013: MakeVR: A 3D world-building interface
Solou, D.
* 2016: Roadmap for Generating Semantically Enriched Building Models According to CITYGML Model Via Two Different Methodologies, A
Solouma, N.[Nahed]
* 2010: New feature-based detection of blood vessels and exudates in color fundus images
Solovchuk, M.[Maxim]
* 2014: HIFU Treatment of Liver Cancer: Reciprocal Effect of Blood Flow and US Studied from a Patient-Specific Configuration
Solovei, I.
* 2002: Hybrid Approach to the 3D High Precision Position Measurement and Particle Tracking in Human Cell Nuclei, A
Soloveichik, E.[Evgeny]
* 2021: EFI-Net: Video Frame Interpolation from Fusion of Events and Frames
* 2024: Beyond RGB: A Real World Dataset for Multispectral Imaging in Mobile Devices
Solovev, P.[Pavel]
* 2020: High-Resolution Daytime Translation Without Domain Labels
* 2022: Stereo Magnification with Multi-Layer Images
* 2023: Self-improving Multiplane-to-layer Images for Novel View Synthesis
Includes: Solovev, P.[Pavel] Solovev, P.
Soloviev, A.
* 2011: Ship Surveillance With TerraSAR-X
* 2016: Coupled Model Simulation of Wind Stress Effect on Far Wakes of Ships in SAR Images
* 2019: Sea Surface Roughness Observed by High Resolution Radar
Includes: Soloviev, A. Soloviev, A.[Alexander]
Soloviev, A.A.
* 2005: Patterns of macroeconomic indicators preceding the unemployment rise in Western Europe and the USA
Soloviev, D.[Dmitry]
* 2021: Comparison of In Situ and Remote-Sensing Methods to Determine Turbidity and Concentration of Suspended Matter in the Estuary Zone of the Mzymta River, Black Sea
Soloviev, D.M.[Dmitry M.]
* 2023: Multi-Sensor Observations Reveal Large-Amplitude Nonlinear Internal Waves in the Kara Gates, Arctic Ocean
Soloviev, M.
* 2016: In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-region Segmentation
Soloviev, O.
* 2018: Modal-based phase retrieval using Gaussian radial basis functions
Soloviev, V.[Valentin]
* 2021: ABOships: An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations
Solovieva, M.[Maria]
* 2021: Satellite Measured Ionospheric Magnetic Field Variations over Natural Hazards Sites
* 2024: Analysis of Pre-Seismic Ionospheric Disturbances Prior to 2020 Croatian Earthquakes
Solovjova, I.[Irina]
* 2023: Application of Digital Twin in Medium-Voltage Overhead Distribution Network Inspection
Solovyev, R.[Roman]
* 2020: Bayesian Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-thoratic Ratio
* 2021: Weighted boxes fusion: Ensembling boxes from different object detection models
Solovyev, T.[Timofey]
* 2020: Video Codec Using Flexible Block Partitioning and Advanced Prediction, Transform and Loop Filtering Technologies
Solovyev, V.[Valery]
* 2012: Up and Down Trend Associations in Analysis of Time Series Shape Association Patterns
* 2014: Positive and Negative Local Trend Association Patterns in Analysis of Associations between Time Series
* 2022: Features of the Extreme Fire Season of 2021 in Yakutia (Eastern Siberia) and Heavy Air Pollution Caused by Biomass Burning
Includes: Solovyev, V.[Valery] Solovyev, V.[Vladimir]
Solovyeva, A.V.[Anna V.]
* 2024: Cultural Itineraries Generated by Smart Data on the Web
Solovyova, O.[Olga]
* 2007: Mathematical Modeling of Electromechanical Function Disturbances and Recovery in Calcium-Overloaded Cardiomyocytes
Soloway, E.M.
* 1977: Learning, General Non-Vision Learning Issues
Soloy, A.[Antoine]
* 2020: Deep Learning-Based Method for Quantifying and Mapping the Grain Size on Pebble Beaches, A