Explain the Pattern. Pattern recognition and its application.
Please rotate your device horizontally for split view
Access and download Pattern Recognition - Elective I question papers from Savitribai Phule Pune University (SPPU). Our collection includes INSEM (Internal Semester) and ENDSEM (End Semester) exam papers.
We offer 2 question papers for Pattern Recognition - Elective I, covering various exam patterns and years. All papers are in PDF format for easy viewing and download.
Prepare for mid-term evaluations with Pattern Recognition - Elective I INSEM papers, aligned with the SPPU exam pattern and syllabus.
Access Pattern Recognition - Elective I ENDSEM papers covering the entire syllabus, essential for final exam preparation.
Our question-paper viewer enables you to:
SPPU Question Papers Hub is focused entirely on SPPU previous year papers, with cleaner discovery by branch, semester, and subject.
Pattern Recognition - Elective I is a key subject in the SPPU curriculum. Our question paper collection helps students understand exam patterns, practice effectively, and improve academic performance.
Explore Pattern Recognition - Elective I resources including SPPU question papers from Savitribai Phule Pune University. Find INSEM and ENDSEM papers for effective examination preparation. Our platform offers academic resources, a PDF viewer for online study, university question papers, and materials for semester examinations.
Download all INSEM question papers as ZIP
Download all ENDSEM question papers as ZIP
Download all question papers (INSEM + ENDSEM) as ZIP
Pre-rendered question cards from available structured metadata.
Explain the Pattern. Pattern recognition and its application.
What are the different models or approaches of pattern recognition?
Explain feature extraction?
What is design cycle of pattern recognition?
What is Neural Pattern Recognition Approach?
Explain in details of Pattern Recognition System & what need of pattern recognition system.
Explain the statistical pattern recognition?
What are the different types of pattern classification?
What is an unsupervised learning approach in pattern recognition?
What is the Gaussian distribution classification?
What are discriminate function and its uses?
What are risk and errors in measurement of classification performance?
| Subject Name | Pattern Recognition - Elective I |
|---|---|
| Semester | I |
| Pattern Year | 2019 |
| Subject Code | 317522 (B) |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | [6360]-131 |
| Academic Year | T.E. |
| Branch Name | Artificial Intelligence and Data Science |
| Exam Type | INSEM |
| Exam Session | 2024 Sep INSEM |
| Watermark | ['CEGP013091', '49.248.216.238 05/09/2024 10:59:37 static-238'] |
Explain Blocks Word Description String Generation example as Pattern Description.
Describe an Abstract View of Parsing Problem?
Describe the Chomsky Normal form with suitable example.
Identify the different Elements of Formal Grammars.
Describe the Design and Selection of Similarity Measures.
Explain Clique finding algorithm with suitable example.
Distinguish between Homomorphism and Isomorphism.
Draw and Explain Grammatical Interface Model and its objective.
Describe with neat diagram Artificial Neuron Activation and Output Characteristics.
Describe the different reasons to adopt a Neural Computational Architecture.
Explain different Characteristics of Neural Computing Applications.
Describe CAM & other Neural Memory Structure.
Explain how the character classification is done with Pattern Associator?
Explain Summary of the Back Propagation learning Procedure with suitable diagram.
Draw & explain how to train the feedforward network using Generalized delta Rule?
Draw & Explain structure of a Multiple Layer Feedforward Network.
| Subject Name | Pattern Recognition - Elective I |
|---|---|
| Semester | I |
| Pattern Year | 2019 |
| Subject Code | 317522B |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6353]-55 |
| Academic Year | T.E. |
| Branch Name | Artificial Intelligence & Data Science |
| Exam Type | ENDSEM |
| Exam Session | 2024 Nov Dec ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.237 19/12/2024 09:54:39 static-237'] |