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NUS EE Final Year Project 2016 Studied and used pattern recognition methods to train the set of algorithms for recognizing faces under Yale Face DataBase B. The trained algorithms were used to test real-life images. Various methods were studied and used to improve system performance in analyzing the image data. Some of the methods stood out and successfully improved the accuracy rate.
Studied Chinese early childhood education market and analyzed competing products. Defined target market segment to be 23-35 young parents and proposed core product ideas which focused on living skills and parent-child education. Developed conceptual diagrams, wire-frames and product design documents. Designed both front end and back end prototype by Axure RP 8. Defined and implemented product development and product management plan.
NUS EE Final Year Project 2016 Studied and used pattern recognition methods to train the set of algorithms for recognizing faces under Yale Face DataBase B. The trained algorithms were used to test real-life images. Various methods were studied and used to improve system performance in analyzing the image data. Some of the methods stood out and successfully improved the accuracy rate.