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Most computer science, engineering, and data science students would have encountered principal component analysis (PCA). Most likely, PCA was introduced to you as a dimension reduction technique and perhaps as a data visualization technique. However, these are merely byproducts of what PCA was originally formulated for, which is the deconvolution of variations in the input data into orthogonal (and hopefully meaningful) directions.
Speaker Profile
Wong Limsoon is a Kwan-Im-Thong-Hood-Cho-Temple Professor in Computing at NUS. Recognized for his contributions to database theory and computational biology, he was honored as a Fellow of the ACM in 2013. Limsoon's research embodies insight into a problem, coupled with an elegant and logical exploitation of that insight.