Technologies: CELL BE

Date of completion: January 1, 1970

Link: http://github.com/danielrizea/PatterRecognition

Short description: The project consists of the implementation of an Pattern Recognition classifier on the Cell Architecture. There are programs for both the PPU and the SPUs. The output program receives a set of training images (just 2 types for now, tigers and elephants), uses LDA (Linear Discriminant Analysis) and HMM (Hidden Markov Model) to train and then is able to classify a third set of images.

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