Svendsen, D.H.[Daniel H.]
* 2017: Physics-Aware Gaussian Processes for Earth Observation
* 2018: Joint Gaussian Processes for Biophysical Parameter Retrieval
* 2020: Active emulation of computer codes with Gaussian processes: Application to remote sensing
* 2020: Deep Gaussian processes for biogeophysical parameter retrieval and model inversion
* 2022: Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions
Includes: Svendsen, D.H.[Daniel H.] Svendsen, D.H.[Daniel Heestermans]
Svendsen, E.
* 2016: Splash detection in surveillance videos of offshore fish production plants
Svendsen, J.[Jeremy]
* 2011: Analysis of patterns of motor behavior in gamers with down syndrome
* 2012: Computer vision based assessment of hand-eye coordination in young gamers: A baseline approach
Svendsen, L.M.
* 2018: Real-time Vehicle Localization and Tracking Using Monocular Panomorph Panoramic Vision
Svendsen, P.L.[Peter L.]
* 2011: Greenland inland ice melt-off: Analysis of global gravity data from the GRACE satellites
Svendsen, S.H.[Synne Hoyer]
* 2019: Integrated View of Greenland Ice Sheet Mass Changes Based on Models and Satellite Observations, An
Includes: Svendsen, S.H.[Synne Hoyer] Svendsen, S.H.[Synne H鴜er]
Svensen, M.
* 2000: Probabilistic modeling of single-trial fMRI data
Svenson, G.
* 2016: Using Analytics in the Implementation of Vertical and Horizontal Curvature in Route Calculation
Svenson, R.H.
* 2002: Dielectrical spectroscopy of canine myocardium during acute ischemia and hypoxia at frequency spectrum from 100 khz to 6 ghz
Svensson, A.
* 2009: Application of automated video analysis for behavioural studies: concept and experience
* 2011: Adaptive Detection of a Partly Known Signal Corrupted by Strong Interference
Svensson, B.
* 1990: Execution of neutral network algorithms on an array of bit-serial processors
* 2005: Filter Networks for Efficient Estimation of Local 3-D Structure
* 2005: Graph Representation of Filter Networks, A
* 2007: Estimation of Non-Cartesian Local Structure Tensor Fields
* 2007: Using Importance Sampling for Bayesian Feature Space Filtering
Includes: Svensson, B. Svensson, B.[Bj鰎n]
Svensson, C.[Charlotte]
* 2003: Structure Estimation and Surface Triangulation of Deformable Objects
* 2012: Image Processing Assisted Algorithms for Optical Projection Tomography
Includes: Svensson, C.[Charlotte] Svensson, C.
Svensson, C.M.[Carl Magnus]
* 2017: Segmentation of clusters by template rotation expectation maximization
Includes: Svensson, C.M.[Carl Magnus] Svensson, C.M.[Carl-Magnus]
Svensson, E.[Elias]
* 2023: Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds
Svensson, J.
* 1995: mixed triangular and quadrilateral partition for fractal image coding, A
* 2005: Phase Contrast MRI Segmentation Using Velocity and Intensity
Includes: Svensson, J. Svensson, J.[Jonas]
Svensson, L.
* 1987: Estimating the N-Dimensional Motion of an (N-1)-Dimensional Hyperplane from Two Matched Images of N+1 Points
* 1987: Estimating the N-Dimensional Motion of an (N-1)-Dimensional Hyperplane from Two Matched Images of N+1 Points
* 2011: New Vehicle Motion Model for Improved Predictions and Situation Assessment, A
* 2011: Registration Parameter Spaces for Molecular Electron Tomography Images
* 2012: Design and Experimental Validation of a Cooperative Driving System in the Grand Cooperative Driving Challenge
* 2013: Probabilistic Template Model for Finding Macromolecules in MET Volume Images, A
* 2014: Bayesian Road Estimation Using Onboard Sensors
* 2014: Marginal Enumeration Bayesian Cramer-Rao Bound for Jump Markov Systems, The
* 2016: Long-Range Road Geometry Estimation Using Moving Vehicles and Roadside Observations
* 2018: Damped Posterior Linearization Filter
* 2018: Development of Platform-Independent System for Cooperative Automated Driving Evaluated in GCDC 2016
* 2020: Deep LiDAR localization using optical flow sensor-map correspondences
* 2021: ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
* 2021: DACS: Domain Adaptation via Cross-domain Mixed Sampling
* 2021: Uncertainty-Aware Performance Measure for Multi-Object Tracking, An
* 2022: DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
* 2022: Object Detection as Probabilistic Set Prediction
* 2023: Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds
* 2023: You can have your ensemble and run it too: Deep Ensembles Spread Over Time
* 2024: Improving Open-Set Semi-Supervised Learning with Self-Supervision
* 2024: LidarCLIP or: How I Learned to Talk to Point Clouds
Includes: Svensson, L. Svensson, L.[Lennart]
21 for Svensson, L.
Svensson, M.[Magnus]
* 2008: self-organized approach for unsupervised fault detection in multiple systems, A
* 2022: All Burglaries Are Not the Same: Predicting Near-Repeat Burglaries in Cities Using Modus Operandi
Includes: Svensson, M.[Magnus] Svensson, M.[Martin]
Svensson, S.[Stina]
* 1999: Fully Reversible Skeletonization for Volume Images Based on Anchor-Points from the D^26 Distance Transform
* 1999: On Reversible Skeletonization Using Anchor-Points from Distance Transforms
* 1999: On the Multiscale Representation of 2D and 3D Shapes
* 2000: Editing 3d Binary Images Using Distance Transforms
* 2001: Curve Skeletonization by Junction Detection in Surface Skeletons
* 2001: Optimal Local Distances for Distance Transforms in 3D Using an Extended Neighbourhood
* 2001: Representing volumetric vascular structures using curve skeletons
* 2001: Tool for Decomposing 3D Discrete Objects, A
* 2002: Curve skeletonization of surface-like objects in 3D images guided by voxel classification
* 2002: Digital Distance Transforms in 3D Images Using Information from Neighbourhoods up to 5
* 2002: Distance transforms in 3D using four different weights
* 2002: Fuzzy border distance transforms and their use in 2d skeletonization
* 2002: new shape descriptor for surfaces in 3D images, A
* 2002: Using distance transforms to decompose 3D discrete objects
* 2002: Using grey-level and distance information for medial surface representation of volume images
* 2003: Estimation of Curvature along Curves with Application to Fibres in 3D Images of Paper
* 2003: Finding cavities and tunnels in 3D complex objects
* 2003: Simplifying curve skeletons in volume images
* 2003: Using distance transform based algorithms for extracting measures of the fiber network in volume images of paper
* 2004: Computing and analysing convex deficiencies to characterise 3D complex objects
* 2004: Discrete Geometry for Computer Imagery Introduction
* 2005: Medial Grey-Level Based Representation for Proteins in Volume Images
* 2006: Fuzzy Distance Based Hierarchical Clustering Calculated Using the A? Algorithm
* 2006: Reduction of Ring Artifacts in High Resolution X-Ray Microtomography Images
* 2006: Using a fuzzy framework for delineation and decomposition of Immunoglobulin G in cryo electron tomographic images
* 2007: decomposition scheme for 3D fuzzy objects based on fuzzy distance information, A
* 2007: Flexibility Description of the MET Protein Stalk Based on the Use of Non-uniform B-Splines
* 2007: Grey Weighted Polar Distance Transform for Outlining Circular and Approximately Circular Objects
* 2008: Aspects on the reverse fuzzy distance transform
Includes: Svensson, S.[Stina] Svensson, S.
29 for Svensson, S.