The course is also offered to the students of the fields other than those the course is directly associated with.
Fields of study the course is directly associated with
there are 48 fields of study the course is directly associated with, display
The objective of the course is to introduce the idea of similarity search on unstructured data and define basic similarity queries and data partitioning principles. Based on these fundamentals, the current state of the art of centralized, approximate, and distributed index structures is presented.
Upon successful completion of the course student will be able:
to understand principles of similarity searching;
to apply similarity searching paradigm to multimedia data;
to explain principles of index structures for multimedia data;
to implement an index structure introduced in the course.
Part I Metric Searching in a Nutshell:
Foundations of Metric Space Searching
Survey of Existing Approaches
Part II Metric Searching in Large Collections of Data:
Lectures with slides. The course is given in English. Questions during lectures are allowed also in Czech.
Final exams are organized during the examination period and the exam is combined: a short written exam and oral examination. The student is asked two questions to verify the student's knowledge obtained during lectures.
Language of instruction
The course is taught annually.
The course is taught: every week.