Pattern Recognition and Neural Networks, 2018
Semester:
Fall - Topics covered: Classification Methods, Bayesian Classification, Density Estimation, Dimensionality Reduction, Gaussian Mixture Models, Boosting Algorithms, Neural Networks, Backpropagation, Statistical Testing.
- Project: Writer Identification based on handwritten text and signatures.
Related materials