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Evaluation of incremental learning algorithms for HMM in the recognition of alphanumeric characters.

, , , and . Pattern Recognit., 42 (12): 3241-3253 (2009)

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Segmentation-Free Approaches For Handwritten Numeral String Recognition., , , and . IJCNN, page 1-8. IEEE, (2018)An implicit segmentation-based method for recognition of handwritten strings of characters., , , , and . SAC, page 836-840. ACM, (2006)Sky/Ground Segmentation Using Different Approaches., , and . IJCNN, page 1-8. IEEE, (2020)A Machine Learning Approach for School Dropout Prediction in Brazil., , and . ESANN, (2022)Supervised Approach to Sky and Ground Classification Using Whiteness-Based Features., , , , and . MICAI (2), volume 10633 of Lecture Notes in Computer Science, page 248-258. Springer, (2017)Verification of Unconstrained Handwritten Words at Character Level., , and . ICFHR, page 39-44. IEEE Computer Society, (2010)The implication of data diversity for a classifier-free ensemble selection in random subspaces., , , and . ICPR, page 1-5. IEEE Computer Society, (2008)Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System., , , , , and . ICDAR, page 666-670. IEEE Computer Society, (2009)Improving Cascading Classifiers with Particle Swarm Optimization., , and . ICDAR, page 570-574. IEEE Computer Society, (2005)K-Nearest Oracle for Dynamic Ensemble Selection., , and . ICDAR, page 422-426. IEEE Computer Society, (2007)