Index for kera

Kera, H. * 2016: Discovering Objects of Joint Attention via First-Person Sensing
* 2017: Temporal Localization and Spatial Segmentation of Joint Attention in Multiple First-Person Videos
* 2023: Sparse fooling images: Fooling machine perception through unrecognizable images
Includes: Kera, H. Kera, H.[Hiroshi]

Keramidas, E.G.[Eystratios G.] * 2007: Efficient and Effective Ultrasound Image Analysis Scheme for Thyroid Nodule Detection
* 2008: Fuzzy Local Binary Patterns for Ultrasound Texture Characterization
* 2011: Fuzzy Binary Patterns for Uncertainty-Aware Texture Representation

Keramitsoglou, I.[Iphigenia] * 2006: performance of pixel window algorithms in the classification of habitats using VHSR imagery, The
* 2011: Wildfire Detection and Tracking over Greece Using MSG-SEVIRI Satellite Data
* 2016: Assessing the Capability of a Downscaled Urban Land Surface Temperature Time Series to Reproduce the Spatiotemporal Features of the Original Data
* 2016: Online System for Nowcasting Satellite Derived Temperatures for Urban Areas, An
* 2017: Improving the Downscaling of Diurnal Land Surface Temperatures Using the Annual Cycle Parameters as Disaggregation Kernels
* 2019: PLANHEAT's Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning
Includes: Keramitsoglou, I.[Iphigenia] Keramitsoglou, I.

Keranen, K.[Kathryn] * 2017: Applications of Location-Based Services and Mobile Technologies in K-12 Classrooms

Keranen, M. * 2003: Feature learning with a genetic algorithm for fluorescence fingerprinting of plant species
Includes: Keranen, M. Keränen, M. (Maybe also Keraenen, M.)

Keranen, P. * 2019: Single Photon Lidar in Mobile Laser Scanning: The Sampling Rate Problem And Initial Solutions Via Spatial Correlations
Includes: Keranen, P. Keränen, P. (Maybe also Keraenen, P.)

Keranen, S.V.E.[Soile V.E.] * 2013: Volumetric Semantic Segmentation Using Pyramid Context Features

Keranen, T.[Tommi] * 2014: Shopper Behaviour Analysis Based on 3D Situation Awareness Information
Includes: Keranen, T.[Tommi] Keränen, T.[Tommi] (Maybe also Keraenen, T.)

Keratiotis, G. * 1999: Optimum variable step-size sequence for LMS adaptive filters

Keraudren, K. * 2015: Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices
* 2015: Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation
* 2016: Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography
Includes: Keraudren, K. Keraudren, K.[Kevin]

Kerautret, B.[Bertrand] * 2004: Reconstruction of Lambertian surfaces by discrete equal height contours and regions propagation
* 2008: Comparison of Discrete Curvature Estimators and Application to Corner Detection
* 2008: Discrete Contour Extraction from Reference Curvature Function
* 2008: Robust Estimation of Curvature along Digital Contours with Global Optimization
* 2009: Blurred Segments in Gray Level Images for Interactive Line Extraction
* 2009: Curvature estimation along noisy digital contours by approximate global optimization
* 2009: Multi-scale Analysis of Discrete Contours for Unsupervised Noise Detection
* 2010: Unsupervised, Fast and Precise Recognition of Digital Arcs in Noisy Images
* 2011: Circular Arc Reconstruction of Digital Contours with Chosen Hausdorff Error
* 2011: Ellipse Detection through Decomposition of Circular Arcs and Line Segments
* 2011: Unsupervised Polygonal Reconstruction of Noisy Contours by a Discrete Irregular Approach
* 2012: Knot Detection in X-Ray CT Images of Wood
* 2012: Meaningful Scales Detection along Digital Contours for Unsupervised Local Noise Estimation
* 2012: Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations
* 2013: Arc Recognition on Irregular Isothetic Grids and Its Application to Reconstruction of Noisy Digital Contours
* 2013: combined multi-scale/irregular algorithm for the vectorization of noisy digital contours, A
* 2013: Knot Segmentation in Noisy 3D Images of Wood
* 2013: Special Issue on Discrete Geometry for Computer Imagery
* 2014: Extraction of Connected Region Boundary in Multidimensional Images
* 2014: Knot segmentation in 3D CT images of wet wood
* 2014: Meaningful Scales Detection: An Unsupervised Noise Detection Algorithm for Digital Contours
* 2015: 3D Geometric Analysis of Tubular Objects Based on Surface Normal Accumulation
* 2015: Efficient Dominant Point Detection Based on Discrete Curve Structure
* 2015: Knot Detection from Accumulation Map by Polar Scan
* 2015: Parallel Strip Segment Recognition and Application to Metallic Tubular Object Measure
* 2016: Adaptive Tangential Cover for Noisy Digital Contours
* 2016: Centerline detection on partial mesh scans by confidence vote in accumulation map
* 2016: Discrete Approach for Decomposing Noisy Digital Contours into Arcs and Segments, A
* 2016: Robust Knot Segmentation by Knot Pith Tracking in 3D Tangential Images
* 2016: Segmentation of defects on log surface from terrestrial lidar data
* 2017: Analysis of Noisy Digital Contours with Adaptive Tangential Cover
* 2017: Greyscale Image Vectorization from Geometric Digital Contour Representations
* 2017: Reconstructions of Noisy Digital Contours with Maximal Primitives Based on Multi-scale/Irregular Geometric Representation and Generalized Linear Programming
* 2019: Thick Line Segment Detection with Fast Directional Tracking
* 2020: machine-learning approach for classifying defects on tree trunks using terrestrial LiDAR, A
* 2021: Tree Defect Segmentation using Geometric Features and CNN
* 2021: Vesselness Filters: A Survey with Benchmarks Applied to Liver Imaging
* 2022: Benchmark Framework for Multiregion Analysis of Vesselness Filters, A
* 2022: CNN-based Method for Segmenting Tree Bark Surface Singularites
* 2023: OpenCCO: An Implementation of Constrained Constructive Optimization for Generating 2D and 3D Vascular Trees
Includes: Kerautret, B.[Bertrand] Kerautret, B.
40 for Kerautret, B.

Index for "k"


Last update: 2-May-24 21:08:06
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