CS669 Pattern Recognition Assignment Solutions
| Assignment Sheet | Contents | Assignment Report |
|---|---|---|
| Assignment 1 | Bayes Classifier using Unimodal Gaussian Distribution on Artificial Linearly and Non-Linearly separable datasets and for real world datasets | Assignment 1 Report Link |
| Assignment 2 | K-Means Clustering and Bayes Classifier using Gaussian Mixture Models for density estimation on datasets of assignment 1 as well as for Scene Image Dataset which were to be converted to Color Histopgram Bag of Visual Words(BoVW) representations | Assignment 2 Report Link |
| Assignment 3 | Bayes Classifier using K-Nearest Neighbor method and using Discrete Hidden Markov Models | Assignment 3 Report Link |
| Assignment 4 Part a | Classification on datasets of Assignment 2 after dimensionality reduction using principal Component Analysis | Assignment 4 Part a Report Link |
| Assignment 4 Part b | Classification on datasets of Assignment 2 after dimensionality reduction using Fisher Discriminant Analysis, Perceptron Based Classifier, SVM based classification using linear, polynomial and Gaussian kernels | Assignment 4 Part b report Link |