October 21st - October 27th, 2007
Every aspect of modern society has been affected by the data revolution. Cheap collection, storage and transmission of vast amounts of information have revolutionized the practice of science, technology and business. Ideas from various disciplines have been deployed to help in the task of designing computer systems that can automatically detect and exploit useful regularities (patterns) in general types of data. This is the second meeting of a series devoted to pursuing a unified theoretical description of the various branches of Pattern Analysis (The Analysis of Patterns). These include statistical approaches to pattern recognition, combinatorical approaches to pattern matching, grammatical representations of structures, and many more fields of mathematics and computer science. In all these diverse fields, there is a fundamental unity in goals and methods that we aim at emphasizing. The meeting is interdisciplinary in nature, and can be seen both as a School for advanced students, and as a Workshop for researchers. Leading researchers in various subfields of pattern analysis will hold tutorials on their subject area, while new ideas will be presented in poster sessions, discussions and short seminars. Students in machine learning, pattern recognition, statistics, optimization, data mining, bioinformatics, are particularly encouraged to apply.