AI Unit 5: Pattern Recognition Previous Year Questions

Artificial Intelligence unit 5 – Pattern Recognition, most Important, most asked previous year questions in your semester exams are listed below.

It will help you in the preparation of your semester exam to score good marks. It will also save you from the backlogs.

Topic : Pattern Recognition, LDA, PCA(Key Note and Questions)


  1. Write a short note on pattern recognition. Also write the process of pattern recognition.
  2. Write the various steps of designing pattern recognition system.
  3. Explain statistical pattern recognition.
  4. Define the term pattern matching.
  5. Write short note on Principle Component Analysis(PCA).
  6. Write a short note on Linear Discriminant Analysis (LDA).
  7. Explain that how PCA is used in pattern recognition.
  8. Write a short note on parametric estimation.

Topic : Classification Techniques: Nearest Neighbor, Bayes
Classifier etc. (Key Note and Questions)


  1. Describe in brief the various feature extraction and selection methods in pattern recognition.
  2. Write a short note on nearest neighbors rule.
  3. Write a note on Bayes classifier.
  4. Write a short note on Support Vector Machine(SVM).
  5. Explain speech recognition in detail. Write its applications.
  6. What is clustering ?Describe k-mean clustering technique.
  7. Write short note on classification technique.
  8. Write a short note on speech processing.
  9. What is overfitting ? Discuss the techniques which are used to reduce the overfitting.