Gilman, A.
* 2009: Model-based least squares optimal interpolation
* 2013: Dolphin fin pose correction using ICP in application to photo-identification
* 2016: Computer-assisted recognition of dolphin individuals using dorsal fin pigmentations
* 2016: Segmentation of harmonic syllables in noisy recordings of bird vocalisations
* 2018: Individual Common Dolphin Identification Via Metric Embedding Learning
* 2021: Likelihood-free Bayesian inference framework for sizing kiwifruit from orchard imaging surveys
* 2021: Robust multi-view continuous subspace clustering
Includes: Gilman, A. Gilman, A.[Andrew]
7 for Gilman, A.
Gilman, E.[Ekaterina]
* 2018: How to support fuel-efficient driving?
Gilman, K.
* 2019: Panoramic Video Separation with Online Grassmannian Robust Subspace Estimation
Gilman, M.[Mikhail]
* 2015: Mathematical Model for SAR Imaging beyond the First Born Approximation, A
* 2023: Transionospheric Autofocus for Synthetic Aperture Radar
Gilmanov, T.[Tagir]
* 2016: Grassland and Cropland Net Ecosystem Production of the U.S. Great Plains: Regression Tree Model Development and Comparative Analysis
Gilmartin, E.
* 2018: Multifaceted Engagement in Social Interaction with a Machine: The JOKER Project
Gilmer, A.[Alan]
* 2019: Coastal Dune Vegetation Mapping Using a Multispectral Sensor Mounted on an UAS
Gilmer, J.[Justin]
* 2021: Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization, The
Gilmont, T.
* 1996: Resolution reduction by growth of zones for visual prosthesis
Gilmore, C.
* 2006: Derivation and Comparison of SAR and Frequency-Wavenumber Migration Within a Common Inverse Scalar Wave Problem Formulation
Gilmore, D.[Daniel]
* 2021: Spatial Heterogeneity-Based Segmentation Model for Analyzing Road Deterioration Network Data in Multi-Scale Infrastructure Systems, A
Gilmore, H.
* 2016: Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
Gilmore, J.[John]
* 2012: 3D Tensor Normalization for Improved Accuracy in DTI Tensor Registration Methods
* 2019: Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development
Gilmore, J.F.
* 1984: Applications of Artificial Intelligence
* 1984: Survey of Aircraft Classification Algorithms, A
* 1985: Applications of Artificial Intelligence II
* 1986: Applications of Artificial Intelligence III
* 1986: Applications of Artificial Intelligence IV
* 1987: Applications of Artificial Intelligence V
Gilmore, J.H.[John H.]
* 2008: Multivariate nonlinear mixed model to analyze longitudinal image data: MRI study of early brain development
* 2010: FRATS: Functional Regression Analysis of DTI Tract Statistics
* 2011: PopTract: Population-Based Tractography
* 2012: TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data
* 2014: Joint Segmentation and Registration for Infant Brain Images
* 2014: LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images
* 2015: Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains
* 2021: Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction
Includes: Gilmore, J.H.[John H.] Gilmore, J.H.
8 for Gilmore, J.H.
Gilmore, K.[Kerry]
* 2011: Cellsnake: A new active contour technique for cell/fibre segmentation
Gilmore, M.S.
* 2010: Superpixel Endmember Detection
Gilmutdinov, I.[Ildar]
* 2022: Assessment of Material Layers in Building Walls Using GeoRadar