Modeling data is the way we – scientists – believe that information should be explained and handled. Indeed, models play a central role in practically every task in signal and image processing. Sparse representation theory puts forward an emerging, highly effective, and universal such model. Its core idea is the description of the data as a linear combination of few building blocks – atoms – taken from a pre-defined dictionary of such fundamental elements.
This Sparse Representations in Signal and Image Processing Professional Certificate from EdX in partnership with IsraelX will introduce you to the field of sparse representations, starting with its theoretical foundations, and systematically present its key achievements. We will touch on theory, numerical algorithms, and applications in image processing.
The tools and algorithms presented in this program are state-of-the art in these fields, and relevant to many applications and needs, covering signal/image restoration, segmentation, sampling, compression, recognition, anomaly detection, separation, and more.
This program is relevant to algorithm developers in machine learning and data mining. The tools learned will help developers be more effective in revealing hidden structures of given data, which is valuable for classification, clustering, stock market prediction, and more.Job Outlook
Always verify the dates on the programme website.
Average Length: 5 weeks per course Effort: 5-6 hours per week, per course
Yaniv Romano - PhD student in the Electrical Engineering Department, Technion, Israel Institute of Technology
Michael Elad - Professor of Computer Science, Technion, Israel Institute of Technology
StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Together with the ISIC Association and British Council IELTS, StudyPortals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.