This article contains reports from the various research groups in the SUNY Buffalo Department of Computer Science, Vision Group, and Graduate Group in Cognitive Science It is organized by the different research topics. However, it should be noted that the individual projects might also be organized around the methodologies and tools used in the research, and, of course, many of the projects fall under more than one category. The system is being implemented in the SNePS Semantic Network Processing System, (Shapiro, 1979) and is a project of the SNePS Research Group and a part of a research project on deixis in narrative being conducted by the Graduate Group in Cognitive Science. This research is a project of the SNePS Research Group and is also part of a research project on deixis in narrative being conducted by the university's Graduate Group in Cognitive Science. Albert Hanyong Yuhan and Stuart C. Expert Systems Research in expert systems includes projects in music, image understanding, message processing, maintenance, and diagnosis.

S. N. Srihari, C. Huang and H. Srinivasan, "Content-Based Retrieval of Handwritten Document Images," Knowledge Based Computer Systems (KBCS 2004), Hyderabad, India, December 2004. S. N. Srihari, C. Huang and H. Srinivasan, "Content-Based Retrieval of Handwritten Document Images," Knowledge Based Computer Systems (KBCS 2004), Hyderabad, India, December 2004.

Sargur N. Srihari, director of the University at Buffalo's Center of Excellence in Document Analysis and Recognition (CEDAR) and SUNY Distinguished Professor of Computer Science and Engineering, has won the 2011 International Conference on Document Analysis and Recognition (ICDAR) Outstanding Achievements award. He is being honored with the award for his outstanding and continued contributions to research and education in handwriting recognition and document analysis, and for his service to the community. Srihari recently traveled to Beijing to accept the award and serve as a keynote speaker at the conference, held bi-annually by the International Association for Pattern Recognition. His speech, entitled "Probabilistic Graphical Models in Machine Learning," focused on the design of computer programs that learn and are able to modify their behavior in an environment of constantly changing information. Without machine learning, many computers that deal with rapidly changing data would require constant reprogramming.

The interpretation of images of postal mail pieces is The Vision Group the domain of this investigation. Our efforts have included It is becoming increasingly important for vision researchers the development of various operators for visual data processing in diverse fields to interact, and the Vision Group at SUNY and image segmentation. The invocation of these Buffalo was formed to facilitate that interaction Current routines and the interpretation of the information they return membership includes 25 faculty and 25 students from 10 is determined by a control structure that uses a variant departments (computer science, electrical and computer of relaxation combined with a rule-based methodology.