Beis, J.S.[Jeffrey S.]
* 1993: Learning Indexing Functions for 3-D Model-Based Object Recognition
* 1994: Learning Indexing Functions for 3-D Model-Based Object Recognition
* 1997: Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces
* 1999: Indexing without Invariants in 3D Object Recognition
Beise, H.P.[Hans Peter]
* 2020: SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark
Includes: Beise, H.P.[Hans Peter] Beise, H.P.[Hans-Peter]
Beisekenov, N.[Nail]
* 2023: Empowering Climate Resilience: Leveraging Cloud Computing and Big Data for Community Climate Change Impact Service (C3IS)
Beiske, K.[Klaus]
* 2021: Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation
Beisl, C.H.[Carlos Henrique]
* 2023: Development and Application of Predictive Models to Distinguish Seepage Slicks from Oil Spills on Sea Surfaces Employing SAR Sensors and Artificial Intelligence: Geometric Patterns Recognition under a Transfer Learning Approach
Beisl, U.
* 2012: Reflectance Calibration Scheme for Airborne Frame Camera Images
* 2016: Estimation Of The Atmospheric Refraction Effect In Airborne Images Using Radiosonde Data
Beisner, H.M.
* 1968: recursive Bayesian approach to pattern recognition, A
* 2008: Celebrating 40 years of Pattern Recognition: Reflections
Includes: Beisner, H.M. Beisner, H.M.[Henry M.]
Beiso, D.
* 2002: Overview of Hyperion on-orbit instrument performance, stability, and artifacts
* 2003: Hyperion, a space-based imaging spectrometer
Beissinger, S.R.[Steven R.]
* 2016: Landscape-Level Associations of Wintering Waterbird Diversity and Abundance from Remotely Sensed Wetland Characteristics of Poyang Lake