Conditional Random Field for optical character recognition (OCR)

  • Designed and developed parallel optimization algorithm based on the LBFGS solver provided by PETSc, leveraging its parallel primitives and testing the scalability on cluster
  • Implemented stochastic gradient solvers (SGD and ADAM), and tested their efficiency in comparison with LBFGS

Source Code available here.