Pattern Recognition, Machine Learning, and Data Mining
Pattern Recognition
Pattern recognition is the study of methods and algorithms for putting data objects into categories. While classical pattern recognition techniques are rooted in statistics and decision theory, the machine learning paradigm is commonly used to design practical systems.
Machine Learning
Machine learning is a method of programming computers where, instead of designing the algorithm to explicitly perform a given task, the machine is programmed to learn from an incomplete set of examples. There are several different machine learning paradigms, such as the naive Bayes rule, artificial neural networks, genetic algorithms, and decision tree learning.
Data Mining
Data mining is the extraction of ?nuggets? of information from structured databases. Algorithms for data mining have a close relationship to methods of pattern recognition and machine learning. Information extraction is the task of processing unstructured data, such as free-form documents, Web-pages and e-mail, so as to extract named entities such as people, places, organizations, and their relationships.
Faculty
- Sargur N. Srihari (SUNY Distinguished Professor)
- Venugopal Govindaraju (Professor)
- Aidong Zhang (Professor)
- Jason Corso (Assistant Professor)
Laboratories and Research Groups
- Center of Excellence for Document Analysis and Recognition (CEDAR)
Director: Sargur N. Srihari
CEDAR performs research concerning scanned images of documents for the purpose of intelligent interpretation. Current supporters include the United States Postal Service, Lockheed Martin Federal Systems, and other corporations.
- Center for Unified Biometrics and Sensors (CUBS)
Director: Venugopal Govindaraju
CUBS performs research on advancing the science of biometrics to provide key enabling technologies to build engineered systems with focus on homeland security applications.
- Vision and Perceptual Machines Lab (VPML)
Director: Jason Corso
VPML performs research in computer and medical vision, computational biomedicine, machine perception, smart environments and interfaces.
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Research Spotlight
New Building SW elevation
This concept scheme shows the new $75M Engineering building viewed from the southwest. A bridge connects the western face of the building to Ketter Hall. Jarvis Hall is seen on the right. In 2008, UB demolished the trailers that had occupied this site.
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Research Spotlight
Grants for research
CSE faculty averages some $4.5 million annually in grants for research in areas that range from high-performance computing to data mining.
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Research Spotlight
Cutting-edge research facilities
CSE faculty are major participants in the new $200 million Buffalo Center of Excellence in Bioinformatics.
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Research Spotlight
High-performance
CSE's MultiStore Research Group is funded by a $1 million NSF grant for the development of high-performance online data-storage systems.
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Research Spotlight
Automated mail
A CSE-affiliated research center developed the systems that postal agencies around the world use for automatically sorting hand-addressed mail.
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Research Spotlight
New Building NE elevation
This concept scheme shows the new $75M Engineering building viewed from the northeast. Ketter and Furnas Halls can be seen on the left, just south of the new building. Ground-breaking is scheduled for 2009.
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Research Spotlight
Working together
CSE faculty work with researchers in chemistry, the life sciences, the pharmaceutical sciences, media study, geography, and many other disciplines.
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Research Spotlight
Supercomputing
The CSE-affiliated Center for Computational Research is one of the leading academic supercomputing centers in the U.S.
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Research Spotlight
Award-winning faculty
The CSE faculty includes NSF CAREER award holders and ACM, IEEE, and AAAI fellows.
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Research Spotlight
Algorithm therapy
A geometric algorithm developed by CSE professor Jinhui Xu configures a set of radiation beams to destroy brain tumors in a form of computer-aided surgery.
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Research Spotlight
New Building NW elevation
This concept scheme shows the new $75M Engineering building viewed from the northwest. The edge of Ketter Hall is visible on the right, just east of the new building. Ribbon-cutting is scheduled for 2011.
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Research Spotlight
Image analysis
CSE professor Aidong Zhang is developing intelligent content-analysis programs to automatically analyze images, replacing human coding of semantic content.
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Research Spotlight
Structural determination
CSE professor Russ Miller is one of the authors of a program that can determine the structure of molecules as large as 2,000 atoms from X-ray diffraction patterns.
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Research Spotlight
Handwriting recognition
Pursuing work on document verification and identification, CSE researchers use machine-learning algorithms to study handwriting variability.
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Research Spotlight
Crystal clear
CSE Professor Russ Miller, along with Nobel Laureate Herbert Hauptman, developed an algorithm for crystal structure determination which is considered one of the top 10 algorithms of the 20th century by Computing in Science and Engineering Magazine.
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