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1. CharRecog/train.m: it's used to define and train the HMMs. 2. CharRecog/test.m: it's used after train to calculate accuracy over the test set. 3. CharRecog/printing_wrong_class.m: it's used after test to plot wrongly classified sequences. 4. CharRecog/demo.m: you can write characters and uses the trained system to predict it. other important files: - CharRecog/DrawCharacter/ftEx6.m: creates features. - CharRecog/LeftRightHMM.m creates left-right HMM. - CharRecog/ErgodicHMM.m creates ergodic HMM. - CharRecog/explore_nStates.m: compares HMM with different # of states and compares ergodic and left right. - CharRecog/test_data.mat: test data. - CharRecog/tdcells_a2h.mat: training data. - CharRecog/tdarr_a2h.mat: reformatted training data. - CharRecog/prepare_data.m: was used to reformat training data so that's it's easier for the training function. - CharRecog/pass.m: to return the predicted character. - CharRecog/plot_matrix.m: plots the feature vectors in a matrix (as slides 10-12). - CharRecog/test2.m: test for another function.
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Pattern Recognition and Machine Learning project
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