Index for sabe

Sabeal, M.A.[Manal Abdullah] * 2016: Dubai 3d Textuerd Mesh Using High Quality Resolution Vertical/Oblique Aerial Imagery

Sabeenian, R.S. * 2012: Motion-compensated video compression using variable length Huffman coding

Sabel, D. * 2013: Evaluation of Soil Moisture Retrieval from the ERS and Metop Scatterometers in the Lower Mekong Basin
* 2014: Seven Years of Advanced Synthetic Aperture Radar (ASAR) Global Monitoring (GM) of Surface Soil Moisture over Africa
Includes: Sabel, D. Sabel, D.[Daniel]

Sabel, J.[Johan] * 2021: On the Robustness and Generalizability of Face Synthesis Detection Methods

Sabelman, E.E. * 2015: real-life dangers of augmented reality, The

Sabelnikovs, O.[Olegs] * 2022: CNN for Hand Washing Movement Classification: What Matters More - the Approach or the Dataset?

Saber, E. * 1996: Automatic Image Annotation Using Adaptive Color Classification
* 1996: Face Detection and Facial Feature Extraction Using Color, Shape and Symmetry Based Cost Functions
* 1996: Fusion of Color and Edge Information for Improved Segmentation and Edge Linking
* 1996: Integration of Color, Shape, and Texture for Image Annotation and Retrieval
* 1997: Fusion of Color and Edge Information for Improved Segmentation and Edge Linking
* 1997: Region-Based Shape-Matching for Automatic Image Annotation and Query-by-Example
* 1998: Frontal View Face Detection and Facial Feature Extraction Using Color, Shape and Symmetry Based Cost Functions
* 1998: Total least square techniques in color printer characterization
* 1999: End-to-End Color Printer Calibration by Total Least Squares Regression
* 1999: Hierarchical Content Description and Object Formation by Learning
* 1999: Object Formation by Learning in Visual Databases using Hierarchical Content Description
* 2001: Hierarchical Image Authentication Watermark with Improved Localization and Security, A
* 2002: Hierarchical watermarking for secure image authentication with localization
* 2002: Reversible data hiding
* 2003: Object segmentation and labeling by learning from examples
* 2003: Object-based image labeling through learning by example and multi-level segmentation
* 2004: Dynamic learning from multiple examples for semantic object segmentation and search
* 2005: Automatic registration of multisensor airborne imagery
* 2005: Lossless Generalized-LSB Data Embedding
* 2005: Partial shape recognition by sub-matrix matching for partial matching guided image labeling
* 2006: Dynamic Object Tracking by Partial Shape Matching for Video Surveillance Applications
* 2007: 3D Scene Reconstruction through a Fusion of Passive Video and Lidar Imagery
* 2007: Mutual Information Based Automatic Registration and Analysis Algorithm for Defect Identification in Printed Documents, A
* 2009: adaptive and progressive approach for efficient Gradient-based multiresolution color image segmentation, An
* 2009: Automated 3D object identification using Bayesian networks
* 2009: Automatic Image Segmentation by Dynamic Region Growth and Multiresolution Merging
* 2010: probabilistic framework for unsupervised evaluation and ranking of image segmentations, A
* 2010: Segment-Based Mesh Design for Building Parallel-Perspective Stereo Mosaics, A
* 2010: Spatial-Feature-Enhanced MMI Algorithm for Multimodal Airborne Image Registration, A
* 2011: Analysis and classification for complex scanned documents
* 2011: intensity-gradient-texture guided methodology for spatial segmentation of remotely sensed multi/hyperspectral imagery, An
* 2011: Semi-automatic 3-D segmentation of Computed Tomographic imagery by iterative gradient-driven volume growing
* 2012: Unsupervised video segmentation by dynamic volume growing and multivariate volume merging using color-texture-gradient features
* 2013: Discrete Topology Based Hierarchical Segmentation for Efficient Object-Based Image Analyis: Application to Object Detection in High Resolution Satellite Images
* 2016: Signature line detection in scanned documents
* 2017: Dense Semantic Labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs
* 2018: Supervised Classification of Multisensor Remotely Sensed Images Using a Deep Learning Framework
* 2019: Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth
* 2019: Spectral Super-Resolution with Optimized Bands
* 2021: Convolutional Auto-Encoder with Tensor-Train Factorization
Includes: Saber, E. Saber, E.[Eli]
40 for Saber, E.

Saber, H.[Hafid] * 2018: Quantitative Assessment of Desertification in an Arid Oasis Using Remote Sensing Data and Spectral Index Techniques

Saber, M. * 2013: Architecture for Automated Fire Detection Early Warning System Based on Geoprocessing Service Composition, An
* 2013: Interoperable Architecture for Air Pollution Early Warning System Based on Sensor Web, An
* 2020: Integrated Methodology for Urban Flood Risk Mapping at the Microscale in Ungauged Regions: A Case Study of Hurghada, Egypt
* 2021: Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M &Ms Challenge
* 2022: Environmental Conditions in Middle Eastern Megacities: A Comparative Spatiotemporal Analysis Using Remote Sensing Time Series
* 2022: Spatiotemporal Analysis of NO2 Production Using TROPOMI Time-Series Images and Google Earth Engine in a Middle Eastern Country
* 2022: Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series
Includes: Saber, M. Saber, M.[Mohamed] Saber, M.[Mina] Saber, M.[Mohsen]
7 for Saber, M.

Saber, O. * 2021: Smart City Security Issues: the Main Attacks and Countermeasures

Saber, Y.[Yusuf] * 2011: High resolution biologically inspired salient region detection

Saberali, S.M.[S. Mohammad] * 2021: ECF-Based Estimator for the LOS Power in Uplink NOMA System With Unknown Impulsive Noise

Saberi, A. * 2019: Design and Evaluation of a Controller to Achieve Optimum Seeding Rate With Specific Spatial Management in Agricultural Machinery
* 2024: Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study
Includes: Saberi, A. Saberi, A.[Abdollah]

Saberi, I.[Iman] * 2020: Self-competitive Neural Networks

Saberi, M.[Morteza] * 2022: Few-Shot Class-Incremental Learning for 3D Point Cloud Objects

Saberi, N.[Nastaran] * 2017: Modeling the Observed Microwave Emission from Shallow Multi-Layer Tundra Snow Using DMRT-ML
* 2021: Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow, The
* 2022: Incorporating Aleatoric Uncertainties in Lake Ice Mapping Using RADARSAT-2 SAR Images and CNNs
Includes: Saberi, N.[Nastaran] Saberi, N.

Saberi, S.J.[Saba J.] * 2022: Comparing Sentinel-2 and Landsat 8 for Burn Severity Mapping in Western North America

Saberian, J. * 2019: Novel Approach to Optimize The Ridesharing Problem Using Genetic Algorithm, A

Saberian, M.[Mohammad] * 2015: Learning Complexity-Aware Cascades for Deep Pedestrian Detection
* 2020: Learning Complexity-Aware Cascades for Pedestrian Detection
* 2021: Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings

Saberian, M.J.[Mohammad J.] * 2011: TaylorBoost: First and second-order boosting algorithms with explicit margin control
* 2012: Boosting algorithms for simultaneous feature extraction and selection
* 2012: Learning Optimal Embedded Cascades
* 2016: Boosted Convolutional Neural Networks

Saberian, M.S.[M. Sadegh] * 2022: DEEMD: Drug Efficacy Estimation Against SARS-CoV-2 Based on Cell Morphology With Deep Multiple Instance Learning

Saberian, S.[Saber] * 2023: RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods

Saberinia, E. * 2019: OFDM Performance Assessment for Traffic Surveillance in Drone Small Cells

Saberioon, M.[Mohammadmehdi] * 2016: Memory-Based Learning Approach as Compared to Other Data Mining Algorithms for the Prediction of Soil Texture Using Diffuse Reflectance Spectra, A
* 2018: Examining the Performance of PARACUDA-II Data-Mining Engine versus Selected Techniques to Model Soil Carbon from Reflectance Spectra
* 2021: Exploring the Suitability of UAS-Based Multispectral Images for Estimating Soil Organic Carbon: Comparison with Proximal Soil Sensing and Spaceborne Imagery
* 2021: Satellite Imagery for Monitoring and Mapping Soil Chromium Pollution in a Mine Waste Dump
* 2022: Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview
* 2023: Semantic Segmentation of Crops and Weeds with Probabilistic Modeling and Uncertainty Quantification

Saberioon, M.M. * 2016: Novel Approach For Estimating Nitrogen Content In Paddy Fields Using Low Altitude Remote Sensing System

Saberkari, A. * 2015: Fast and adaptive license plate recognition algorithm for Persian plates

Saberkari, H.[Hamidreza] * 2016: Efficient Algorithm for Small Gene Prediction in DNA Sequences, An

Sabet, A.[Amin] * 2021: Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms
* 2023: Solar Irradiance Anticipative Transformer

Sabet, M.[Mojtaba] * 2009: Neural Based Approach for Fast Retrieval of Symbolic Images in Database

Sabetghadam, S.[Serwah] * 2017: Multimodal Video-to-Video Linking: Turning to the Crowd for Insight and Evaluation
* 2018: faceted approach to reachability analysis of graph modelled collections, A

Sabeti, M.[Malihe] * 2018: Improved particle swarm optimisation to estimate bone age
* 2023: Analysis of lung scan imaging using deep multi-task learning structure for Covid-19 disease
* 2023: efficient deep multi-task learning structure for COVID-19 disease, An
Includes: Sabeti, M.[Malihe] Sabeti, M.[Maliheh]

Sabeti, V.[Vajiheh] * 2010: Steganalysis and payload estimation of embedding in pixel differences using neural networks

Sabetizade, M.[Marmar] * 2019: Mapping Physiognomic Types of Indigenous Forest using Space-Borne SAR, Optical Imagery and Air-borne LiDAR
* 2021: National Mapping of New Zealand Pasture Productivity Using Temporal Sentinel-2 Data

Sabetsarvestani, Z.[Zahra] * 2023: Image Separation With Side Information: A Connected Auto-Encoders Based Approach

Sabeur, Z.[Zoheir] * 2010: Tools for semi-automatic monitoring of industrial workflows
* 2015: Multi-modal Computer Vision for the Detection of Multi-scale Crowd Physical Motions and Behavior in Confined Spaces
* 2022: High-Level Feature Extraction for Crowd Behaviour Analysis: A Computer Vision Approach

Sabeur, Z.A.[Zoheir A.] * 2020: Multi-scale crowd feature detection using vision sensing and statistical mechanics principles

Index for "s"


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