Beig, N.[Niha]
* 2022: Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma
Beigelman Aubry, C.
* 2004: Pulmonary Airways: 3-D Reconstruction From Multislice CT and Clinical Investigation
* 2004: Pulmonary Airways: 3-D Reconstruction From Multislice CT and Clinical Investigation
Includes: Beigelman Aubry, C. Beigelman-Aubry, C.
Beighley, E.[Edward]
* 2017: Estimating Daily Global Evapotranspiration Using Penman-Monteith Equation and Remotely Sensed Land Surface Temperature
* 2020: Applicability of SWOT's Non-Uniform Space-Time Sampling in Hydrologic Model Calibration, The
* 2022: Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin
* 2023: Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies
* 2023: Online fusion of multi-resolution multispectral images with weakly supervised temporal dynamics
Beigi, H.S.M.
* 1994: Size normalization in on-line unconstrained handwriting recognition
* 1999: Multimedia Document Retrieval Using Speech and Speaker Recognition
Includes: Beigi, H.S.M. Beigi, H.S.M.[Homayoon S.M.]
Beigi, M.[Mandis]
* 1997: Visual Information Retrieval from Large Distributed Online Repositories
Beigpour, S.[Shida]
* 2011: Color constancy and non-uniform illumination: Can existing algorithms work?
* 2011: Object recoloring based on intrinsic image estimation
* 2013: Intrinsic image evaluation on synthetic complex scenes
* 2014: Design and Creation of a Multi-illuminant Scene Image Dataset
* 2014: Multi-Illuminant Estimation With Conditional Random Fields
* 2014: Painting-91: a large scale database for computational painting categorization
* 2015: Comprehensive Multi-Illuminant Dataset for Benchmarking of the Intrinsic Image Algorithms, A
* 2016: Multi-view Multi-illuminant Intrinsic Dataset
Includes: Beigpour, S.[Shida] Beigpour, S.
8 for Beigpour, S.
Beigy, H.[Hamid]
* 2014: Active selection of clustering constraints: a sequential approach
* 2015: Active constrained fuzzy clustering: A multiple kernels learning approach
* 2020: Density peaks clustering based on density backbone and fuzzy neighborhood
* 2020: Supervised fuzzy partitioning
* 2021: Automatic Image Annotation using Tag Relations and Graph Convolutional Networks
* 2023: Learning Hidden Graphs From Samples