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 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 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.
CSE students gather in the Davis Atrium to demonstrate their semesterly capstone projects and current research projects.
Meet with current students, alumni, board members and company representatives. Come network, learn about our cutting edge research and outstanding academic programs, and meet our world-class faculty.
President Tripathi stops by to welcome our Fall 2016 incoming computer science grad students!
CSE faculty win awards at the 2015 SEAS Faculty Awards ceremony. Above: Qiao, Alphonce, Rudra, Ko. Below: Xu, Ren, Upadhyaya, Koutsonikolas, Gao.
Another shot of CSE faculty award winners at the 2015 SEAS Faculty Awards ceremony. Wu, Koutsonikolas, Xu, Ren, Upadhyaya, Rudra, Ko, Alphonce, Gao.
CSE undergrads demonstrate technology from the Center for Socially Relevant Computing (CSRC) to newly-accepted students and their parents at the CSE Open House on Saturday, March 23.
CSE graduate students and their faculty advisors present research posters in the Davis Atrium on March 7, 2013.
CSE and Management students compete in the Northeast Collegiate Cyberdefense Competition (NCCC) on Saturday, January 19. UB advanced to the next round of competition, to be held at the University of Maine in March.
UB's Center of Excellence in Information Systems, Assurance, Research, and Education (CEISARE) received a $1.6 million NSF grant to train students to protect the United States from cyberattacks. »
UB hosted Davis Hall's ribbon-cutting ceremony on May 12, 2012. Pictured (l to r) are: Kamlesh Tripathi, Margaret Jacobs, Jeremy Jacobs, Barbara Davis, Jack Davis, Rajan Batta, George Maziarz, and Harvey Stenger.
Pursuing work on document verification and identification, CSE researchers use machine-learning algorithms to study handwriting variability.
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.
CSE professor Aidong Zhang is developing intelligent content-analysis programs to automatically analyze images, replacing human coding of semantic content.
This concept scheme shows Davis Hall, CSE's new $75M headquarters, viewed from the northwest. The edge of Ketter Hall is visible on the right, just east of Davis. UB held the ribbon-cutting ceremony on May 12, 2012.
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.
The CSE faculty includes NSF CAREER award holders; ACM, IEEE, and AAAI fellows; and editors of noteworthy journals.
CSE faculty work with researchers in chemistry, the life sciences, the pharmaceutical sciences, media study, geography, and many other disciplines.
This concept scheme shows Davis Hall, CSE's new $75M headquarters, viewed from the northeast. Ketter and Furnas Halls can be seen on the left, just south of the new building. We broke ground in April 2009.
CEDAR, a CSE-affiliated research center, developed the systems that postal agencies around the world use to automatically sort hand-addressed mail.
CSE's MultiStore Research Group is funded by a $1 million NSF grant for the development of high-performance online data-storage systems.
CSE faculty are major participants in the new $200 million Buffalo Center of Excellence in Bioinformatics.
CSE faculty average some $4.5 million annually in research grants. Our research areas range from high-performance computing to data mining.
Click on the calendar image to view the schedule of planned events.
See a list of current and past events.