Holsapple, C.W.
* 1996: Citation-Based Journal Rankings for AI Research: a Business Perspective
Holscher, C.[Christoph]
* 2022: Hitchhiker's Guide to Fused Twins: A Review of Access to Digital Twins In Situ in Smart Cities, The
Includes: Holscher, C.[Christoph] Hölscher, C.[Christoph] (Maybe also Hoelscher, C.)
Holscher, D.[Dirk]
* 2020: Airborne Tree Crown Detection for Predicting Spatial Heterogeneity of Canopy Transpiration in a Tropical Rainforest
* 2020: Predicting Tree Sap Flux and Stomatal Conductance from Drone-Recorded Surface Temperatures in a Mixed Agroforestry System: A Machine Learning Approach
* 2023: ECOSTRESS Reveals the Importance of Topography and Forest Structure for Evapotranspiration from a Tropical Forest Region of the Andes
Includes: Holscher, D.[Dirk] Hölscher, D.[Dirk] (Maybe also Hoelscher, D.)
Holsinger, L.M.[Lisa M.]
* 2018: Mean Composite Fire Severity Metrics Computed with Google Earth Engine Offer Improved Accuracy and Expanded Mapping Potential
* 2019: Giving Ecological Meaning to Satellite-Derived Fire Severity Metrics across North American Forests
* 2021: Mean Composite Fire Severity Metrics Computed with Google Earth Engine Offer Improved Accuracy and Expanded Mapping Potential
* 2022: Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area
Holst, C.[Christoph]
* 2019: Decreasing the Uncertainty of the Target Center Estimation at Terrestrial Laser Scanning by Choosing the Best Algorithm and by Improving the Target Design
* 2019: Designing and Evaluating a User-Oriented Calibration Field for the Target-Based Self-Calibration of Panoramic Terrestrial Laser Scanners
* 2019: Investigating the gravitational stability of a radio telescope's reference point using a terrestrial laser scanner: Case study at the Onsala Space Observatory 20-m radio telescope
* 2019: Sensitivity Analysis and Minimal Measurement Geometry for the Target-Based Calibration of High-End Panoramic Terrestrial Laser Scanners
* 2020: Design and Evaluation of a Permanently Installed Plane-Based Calibration Field for Mobile Laser Scanning Systems
* 2020: Investigating the resolution capability of terrestrial laser scanners and its impact on the effective number of measurements
* 2021: Increasing Spatio-Temporal Resolution for Monitoring Alpine Solifluction Using Terrestrial Laser Scanners and 3D Vector Fields
* 2021: Spatio-Temporal Models for Vibration Monitoring of Elongated Structures Using Profile Laser Scans
* 2021: Towards the empirical determination of correlations in terrestrial laser scanner range observations and the comparison of the correlation structure of different scanners
* 2022: KdO-Net: Towards Improving the Efficiency of Deep Convolutional Neural Networks Applied in the 3D Pairwise Point Feature Matching
* 2024: 3D Landslide Monitoring in High Spatial Resolution by Feature Tracking and Histogram Analyses Using Laser Scanners
Includes: Holst, C.[Christoph] Holst, C.
11 for Holst, C.
Holst, G.
* 2000: Face Detection by Facets: Combined Bottom-up and Top-down Search Using Compound Templates
Holst, G.C.[Gerald C.]
* 1994: Infrared Imaging Systems: Design, Analysis, Modeling, and Testing
Holst, H.[Holger]
* 2003: Automated Interpretation of Ventilation-Perfusion Lung Scintigrams for the Diagnosis of Pulmonary Embolism Using Support Vector Machines
Holst, J.[Jan]
* 2002: Bayesian EM algorithm for optimal tracking of a maneuvering target in clutter, A
* 2006: Using a Connected Filter for Structure Estimation in Perspective Systems
* 2021: Modelling Daily Gross Primary Productivity with Sentinel-2 Data in the Nordic Region: Comparison with Data from MODIS
Includes: Holst, J.[Jan] Holst, J.[Jutta]
Holst, M.[Mathias]
* 2006: Efficient Rendering of High-Detailed Objects Using a Reduced Multi-resolution Hierarchy
* 2008: 3D Mesh Exploration for Smart Visual Interfaces
Holst, M.K.[Mads Kahler]
* 2016: Improved Geoarchaeological Mapping with Electromagnetic Induction Instruments from Dedicated Processing and Inversion
Includes: Holst, M.K.[Mads Kahler] Holst, M.K.[Mads Kähler]
Holst, S.[Stefan]
* 2021: On the Efficacy of Scan Chain Grouping for Mitigating IR-Drop-Induced Test Data Corruption
Holste, G.[Gregory]
* 2021: End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI
* 2023: Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays
Holstein, H.
* 2002: Low Density Feature Point Matching for Articulated Pose Identification
* 2002: pseudo linearization method for accurate pose estimation from a single image, A
* 2002: Recognition of human periodic motion: A frequency domain approach
* 2003: Using k-d trees for robust 3D point pattern matching
* 2004: New method for sparse point-sets matching with underlying non-rigidity
* 2004: Pseudo-linearizing collinearity constraint for accurate pose estimation from a single image
* 2004: Reconstruction of segmentally articulated structure in freeform movement with low density feature points
* 2005: Similarity K-d tree method for sparse point pattern matching with underlying non-rigidity
* 2006: Compact Representation of Range Imaging Surfaces
* 2006: Recognition of human periodic movements from unstructured information using a motion-based frequency domain approach
* 2008: Articulated motion reconstruction from feature points
* 2013: Parameterization of point-cloud freeform surfaces using adaptive sequential learning RBFnetworks
Includes: Holstein, H. Holstein, H.[Horst]
12 for Holstein, H.
Holstein, T.[Tobias]
* 2016: Low-Cost Mixed Reality Simulator for Industrial Vehicle Environments
* 2018: 360 Degree Mixed Reality Environment to Evaluate Interaction Design for Industrial Vehicles Including Head-Up and Head-Down Displays
Holston, A.[Alexander]
* 2022: NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
* 2023: RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning