Kerekes, G.[Gabriel]
* 2021: Estimating Control Points for B-Spline Surfaces Using Fully Populated Synthetic Variance-Covariance Matrices for TLS Point Clouds
Kerekes, J.
* 2007: 3D Scene Reconstruction through a Fusion of Passive Video and Lidar Imagery
* 2019: Assessing the Impact of Satellite Revisit Rate on Estimation of Corn Phenological Transition Timing through Shape Model Fitting
Includes: Kerekes, J. Kerekes, J.[John]
Kerekes, J.P.[John P.]
* 1989: Simulation of Optical Remote Sensing Systems
* 1991: Analytical Model of Earth Observational Remote Sensing Systems, An
* 1991: Parameter Tradeoffs for Imaging Spectroscopy Systems
* 1991: Parametric Analysis of Target/Decoy Performance
* 2002: Spectral imaging system analytical model for subpixel object detection
* 2005: Full-Spectrum Spectral Imaging System Analytical Model
* 2006: Techniques for Fusion of Multimodal Images: Application to Breast Imaging
* 2009: Method for Assessing Spectral Image Utility, A
* 2010: Image-Derived Prediction of Spectral Image Utility for Target Detection Applications
* 2011: Hyperspectral remote sensing subpixel object detection performance
* 2014: Analytical Model for Optical Polarimetric Imaging Systems, An
* 2014: First-Principle Simulation of Spaceborne Micropulse Photon-Counting Lidar Performance on Complex Surfaces
* 2017: Application of Abundance Map Reference Data for Spectral Unmixing
* 2017: Validation of Abundance Map Reference Data for Spectral Unmixing
* 2018: Impact of Wavelength Shift in Relative Spectral Response at High Angles of Incidence in Landsat-8 Operational Land Imager and Future Landsat Design Concepts
* 2018: Potential of Red Edge Spectral Bands in Future Landsat Satellites on Agroecosystem Canopy Green Leaf Area Index Retrieval
Includes: Kerekes, J.P.[John P.] Kerekes, J.P.
16 for Kerekes, J.P.
Kerekes, R.
* 2007: Graphical Model Approach to Iris Matching Under Deformation and Occlusion
Kerekes, R.A.
* 2006: Correlation Filters With Controlled Scale Response
Kereliuk, C.
* 2015: Deep Learning and Music Adversaries
Keren, D.
* 1987: Improving Image Resolution Using Subpixel Motion
* 1988: Image Sequence Enhancement Using Sub-Pixel Displacements
* 1990: Variations on Regularization
* 1992: Bounded and Unbounded Implicit Polynomial Curves and Surfaces, Mahalanobis Distances, and Geometric Invariants, for Robust Object Recognition
* 1992: Describing Complicated Objects by Implicit Polynomials
* 1992: Practical Reliable Bayesian Recognition of 2D and 3D Objects Using Implicit Polynomials and Algebraic Invariants
* 1992: Robust object recognition based on implicit algebraic curves and surfaces
* 1993: Computing Correspondence Based on Regions and Invariants without Feature Extraction and Segmentation
* 1993: Probabilistic Analysis of Regularization
* 1993: Recognizing mice, vegetables and hand printed characters based on implicit polynomials, invariants and Bayesian methods
* 1994: Bayesian Framework For Regularization, A
* 1994: Bayesian Regularization
* 1994: Describing Complicated Objects by Implicit Polynomials
* 1994: Recognizing Groups of Curves Based on New Affine Mutual Geometric Invariants, with Applications to Recognizing Intersecting Roads in Aerial Images
* 1994: Using Symbolic Computation to Find Algebraic Invariants
* 1995: Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants
* 1996: Practical Reliable Bayesian Recognition of 2D and 3D Objects Using Implicit Polynomials and Algebraic Invariants
* 1997: Recognizing 3D Objects Using Tactile Sensing and Curve Invariants
* 1998: Recognizing surfaces from 3D curves
* 1998: Recovering Surface Invariants from Curves
* 1999: Fitting Curves and Surfaces With Constrained Implicit Polynomials
* 1999: Full Bayesian Approach to Curve and Surface Reconstruction, A
* 1999: Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data, A
* 1999: Restoring subsampled color images
* 2000: Anti-Faces for Detection
* 2000: Recognizing 3D Objects Using Tactile Sensing and Curve Invariants
* 2001: Anti-Sequences: Event Detection by Frame Stacking
* 2001: Antifaces: A Novel, Fast Method for Image Detection
* 2001: Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data, A
* 2001: Image Detection Under Varying Illumination and Pose
* 2002: All Points Considered: A Maximum Likelihood Method for Motion Recovery
* 2002: Painter identification using local features and naive bayes
* 2003: Recognizing image style and activities in video using local features and naive Bayes
* 2003: Recovery of epipolar geometry as a manifold fitting problem
* 2004: Efficient detection under varying illumination conditions and image plane rotations
* 2004: Rejection-Based Method for Event Detection in Video, A
* 2004: Topologically Faithful Fitting of Simple Closed Curves
* 2005: Analyzing Symmetry in Biological Systems
* 2005: Motion Recovery by Integrating over the Joint Image Manifold
* 2006: Incorporating the Boltzmann Prior in Object Detection Using SVM
* 2007: Multi-Camera Topology Recovery from Coherent Motion
* 2007: new measure of symmetry and its application to classification of bifurcating structures, A
* 2009: Probabilistic Method for Point Matching in the Presence of Noise and Degeneracy, A
* 2011: Applying Property Testing to an Image Partitioning Problem
* 2012: Hybrid Classifiers for Object Classification with a Rich Background
* 2012: Probabilistic Approach to Pattern Matching in the Continuous Domain, A
* 2016: Recognition Using Hybrid Classifiers
Includes: Keren, D. Keren, D.[Daniel]
47 for Keren, D.
Keren, S.
* 2008: Comparison Between a Time Domain and Continuous Wave Small Animal Optical Imaging System, A
Kerepecky, T.[Tomas]
* 2021: D3Net: Joint Demosaicking, Deblurring and Deringing
* 2023: NERD: Neural Field-Based Demosaicking
* 2023: Real-Time Wheel Detection and Rim Classification in Automotive Production
Includes: Kerepecky, T.[Tomas] Kerepecký, T.[Tomá]
Keresztes, B.[Barna]
* 2009: Seismic fault detection using marked point processes
* 2018: Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca Disease in Bordeaux Vineyards
Kereszturi, G.[Gabor]
* 2016: Mapping of macro and micro nutrients of mixed pastures using airborne AisaFENIX hyperspectral imagery
* 2018: Integrating Airborne Hyperspectral, Topographic, and Soil Data for Estimating Pasture Quality Using Recursive Feature Elimination with Random Forest Regression
* 2020: Automatic Mapping of Rice Growth Stages Using the Integration of SENTINEL-2, MOD13Q1, and SENTINEL-1
* 2021: Mapping a Cloud-Free Rice Growth Stages Using the Integration of PROBA-V and Sentinel-1 and Its Temporal Correlation with Sub-District Statistics
* 2023: Unified Physically Based Method for Monitoring Grassland Nitrogen Concentration with Landsat 7, Landsat 8, and Sentinel-2 Satellite Data, A
Includes: Kereszturi, G.[Gabor] Kereszturi, G.[Gábor]
Kereta, Z.[Zeljko]
* 2023: Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction, An
* 2023: On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces
* 2023: Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces
Kerezsi, G.[Gyorgy]
* 2020: Application of Hybrid Prediction Methods in Spatial Assessment of Inland Excess Water Hazard
Includes: Kerezsi, G.[Gyorgy] Kerezsi, G.[György]