Sorry, you need to enable JavaScript to visit this website.

  • 12:46 AM, Saturday, 11 Jul 2020

Course Undergraduate
Semester Electives
Subject Code AV489
Subject Title Pattern Recognition and Machine Learning


PR overview-Feature extraction-Statistical Pattern Recognition-Supervised Learning-Parametric
methods-Non parametric methods; ML estimation-Bayes estimation-k NN
approaches. Dimensionality reduction, data normalization. Regression, and time series
analysis. Linear discriminat functions. Fishers linear discriminant, linear perceptron and Neural
Networks. Kernel methods and Support vector machine. Unsupervised learning and clustering.
K-means and hierarchical clustering. Ensemble/ Adaboost classifier, Soft computing paradigms
for classification and clustering. Applications to document analysis and recognition

Text Books