Department of Computer Science Pattern Recognition (Topics in Artificial Intelligence, Winter 2009-2010) 4005-759-01 (Calendar Description)

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Instructor: Richard Zanibbi, Office: 70-3551 (Golisano College)
Office hours: 2-3pm Tues. and Thurs., 10am-12pm on Wednesdays
Lectures: 4-5:50pm Tuesdays and Thursdays, Room 70-3445 (Golisano College)

Resources

Academic Writing for Computer Science

Notes on what is expected for papers in this class: Some Notes on Academic Writing for Computer Science.

Useful references for academic writing in Computer Science (both are inexpensive, and available in the library):

• Writing for Computer Science, 2nd edition, by Justin Zobel. This is an excellent introduction to writing research papers and theses. The book also discusses the process of research for computer scientists.
• The Elements of Style, Fourth Edition by Strunk and White. A short, cheap, and classic reference on writing clearly and concisely.

Books

The books below will be available for 2-hour loans from the reserve desk in the library. Our library has many other related sources; try searching the RIT library database using "pattern recognition" as the subject or title. You may also use an inter-library loan if you cannot find what you need online or in the library.

• L. Kuncheva. (2004) Combining Pattern Classifiers, Methods and Algorithms, Wiley (recommended text).
• R.O. Duda, P.E. Hart and D. Stork. (2001) Pattern Classification (2nd edition), Wiley.
• C. Bishop. (2006) Pattern Recognition and Machine Learning, Springer.
• C. Bishop. (1995) Neural Networks for Pattern Recognition, Oxford University Press.
• S. Theodoridis and K. Koutroumbas. (2009). Pattern Recognition (4th edition), Academic Press.
• K. Fukunaga. (1972) Introduction to Statistical Pattern Recognition, Academic Press.
• P. Devijver and Y. Kittler. (1982) Pattern Recognition: A Statistical Approach, Prentice-Hall.
• K.S. Fu. (1982) Syntactic Pattern Recognition and Applications, Prentice-Hall.
• S. Watanabe. (1985) Pattern Recognition: Human and Mechanical, Wiley.
• R.J. Schalkoff. (1992) Pattern Recognition: Statistical, Structural, and Neural Approaches, Wiley.

Data Sets

Here is a partial list of publicly available data sets.

• MNIST handwritten digit dataset
• The Chars74k dataset (character recognition in natural images)
• LAMP (Univ. Maryland) Document Databases (including Logo, Tobacco-800 document datasets; many tools also available).
• Infty Project Datasets (mathematical notation) ((M. Suzuki et al., Kyushu University, Japan)
• UCI Machine Learning Repository

Software

• Ludmila Kuncheva's MATLAB code for some examples in her book, "Combining Pattern Classifiers."
• PRTools toolbox for MATLAB, developed at DELFT in the Netherlands.
• lush, the Lisp Universal SHell. Includes implementations of various neural net algorithms (including the LeNet5 convolutional neural net) along with many other neural net/machine learning algorithms.
• The Intel Open Source Computer Vision Library (a on OpenCV is available: link, and can be obtained as an electronic book through the online RIT library catalogue).