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