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Course Contents

The course is designed to study current advancements in data collection and analysis techniques for machine learning and vision algorithms

Course Synopsis

The course will aim to teach students the importance of performance characterization of algorithms with main focus on vision algorithms (such as edge detection, corner detection, blob detection, descriptors, image matching algorithms and application specific algorithms for example, panorama stitching, tracking, navigation etc). It will cover conventional methods such as ROC curves, Precision-Recall curve, sensitivity-specificity graphs, F-measure and Accuracy. The main focus will be to understand the application of above mentioned performance metric s and their limitations. The course will also discuss statistical methods commonly used in other domains such as Null hypothesis testing using parametric methods and non-parametric methods. Parametric methods include chi-square test, T-tsets etc. Whereas, non-parametric methods include ANOVA, McNemar’s test, signed tests etc. Furthermore, the importance of using sufficiently large amount of data will be discussed which will also include the use of synthetic and real data.

Course Learning Outcomes

Upon completion of this course, students will: • Select appropriate analytical tools for performance characterization of algorithms • Identify the appropriate amount of data for performance comparisons • Be able to use tools for different statistical tests such as Excel, SPSS, WEKA etc.

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Book Title : Fundamental Concepts in the Design of Experiments,
Author : Charles R. Hicks, Kenneth V. Turner
Edition : 5th ed.
Publisher : New York: Oxford University Press

Book Title : Statistical Methods in Agriculture and Experimental Biology
Author : R. Mead, R.N. Curnow, and A.M. Hasted
Edition : 2nd ed
Publisher : London: Chapman & Hall

Book Title : Statistical Procedures for Agricultural Research
Author : K.A. Gomez, and A.A. Gomez
Edition : 2nd ed
Publisher : New York: John Wiley & Son

Book Title : Mathematical Statistics with Applications
Author : William Mendenhall, and R.L. Scheaffer.
Edition :
Publisher : North Scituate: Duxbury Press

Book Title : Introduction to Statistics
Author : Ronald E. Walpole
Edition : 3rd ed
Publisher : New York: Macmillan Publishing Co.

Book Title : Statistical Methods
Author : George W. Snedecor, and W. G. Cochran
Edition : 7th ed
Publisher : Ames: Iowa State University

Book Title : Introductory Probability and Statistics: Applications for Forestry and the Natural Sciences
Author : Kozak, A, RA Kozak, C Staudhammer and SB Watts
Edition :
Publisher : CAB International, Wallingford, Oxfordshire

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