Hone, A.N.
* 2008: Minimal-Bracketing Sets for High-Dynamic-Range Image Capture
* 2008: tradeoff between SNR and exposure-set size in HDR imaging, The
Includes: Hone, A.N. Hone, A.N.[A. Nicholas]
Honea, D.M.
* 2002: Active contours using a potential field
Honec, J.[Josef]
* 1997: Visual Analysis On The Production Line
Honeck, E.[Erica]
* 2018: From a Vegetation Index to a Sustainable Development Goal Indicator: Forest Trend Monitoring Using Three Decades of Earth Observations across Switzerland
Honegger, J.[Jonas]
* 2020: Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy
Honeine, P.
* 2012: Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach
* 2012: Online Kernel Principal Component Analysis: A Reduced-Order Model
* 2013: Non-negativity constraints on the pre-image for pattern recognition with kernel machines
* 2013: Online Kernel Adaptive Algorithms With Dictionary Adaptation for MIMO Models
* 2014: Mobility using first and second derivatives for kernel-based regression in wireless sensor networks
* 2014: Nonlinear Estimation of Material Abundances in Hyperspectral Images With L_1-Norm Spatial Regularization
* 2016: Biobjective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models
* 2016: Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach
* 2016: Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects
* 2017: Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing
* 2018: Correntropy-based robust multilayer extreme learning machines
* 2020: Interpretable time series kernel analytics by pre-image estimation
* 2020: Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation
* 2021: graphkit-learn: A Python library for graph kernels based on linear patterns
* 2021: High-level prior-based loss functions for medical image segmentation: A survey
* 2021: Symbols Detection and Classification using Graph Neural Networks
* 2022: End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing
Includes: Honeine, P. Honeine, P.[Paul]
17 for Honeine, P.
Honen, Y.
* 2009: 3D-color video camera
Honer, J.[Jens]
* 2022: Dynamic Conditional Imitation Learning for Autonomous Driving
Honer, O.[Oliver]
* 2005: AcouMotion: An Interactive Sonification System for Acoustic Motion Control
Includes: Honer, O.[Oliver] Höner, O.[Oliver] (Maybe also Hoener, O.)
Hones, F.[Frank]
* 1992: From Paper to Office Document Standard Representation
* 1994: Layout Extraction of Mixed-Mode Documents
Includes: Hones, F.[Frank] Hönes, F.[Frank] (Maybe also Hoenes, F.)Hones, F.
Honey, S.K.[Stanley K.]
* 1999: Method and apparatus for enhancing the broadcast of a live event
* 1999: System for displaying an object that is not visible to a camera
* 1999: System for enhancing the television presentation of an object at a sporting event
* 1999: System for re-registering a sensor during a live event
* 2000: Method and apparatus for adding a graphic indication of a first down to a live video of a football game
* 2000: System for determining the position of an object
* 2000: System for enhancing the television presentation of an object at a sporting event
* 2001: Blending a graphic
* 2001: System for determining the end of a path for a moving object
* 2001: System for enhancing a video presentation of a live event
* 2002: Enhancing a video of an event at a remote location using data acquired at the event
* 2003: System for enhancing a video presentation of a live event
* 2005: Video compositor
* 2006: System for enhancing video
14 for Honey, S.K.