Asset Modeling using Serverless Computing
Srideepika Jayaraman, Chandra Reddy, et al.
Big Data 2021
We provide a probabilistic framework, based on Perceptual Inference Networks, for the management of computational resources such as special purpose modules, feature detectors, and highly domain dependent algorithms. Since these resources tend to be computationally expensive and have limited applicability, judicious management is warranted. The resources are used to build a comprehensive description of the scene. Resources are selected in an information theoretic framework with the maximization of information gain per unit of computation as the optimality criterion. The viability of the algorithm is demonstrated in perceptual organization tasks. © 1995 Academic Press. All rights reserved.
Srideepika Jayaraman, Chandra Reddy, et al.
Big Data 2021
Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
Eli Packer, Asaf Tzadok, et al.
ICDAR 2011
Eugene H. Ratzlaff
ICDAR 2001