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Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers.

, , , , , , and . IUKM, volume 11471 of Lecture Notes in Computer Science, page 295-307. Springer, (2019)

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Guest editorial special issue on intelligent multimedia processing., , , , and . IEEE Trans. Neural Networks, 13 (4): 789-792 (2002)Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination., , , , , , and . J. Signal Process. Syst., 74 (3): 311-322 (2014)Bayesian modelling of the speech spectrum using mixture of Gaussians., , , and . ICASSP (1), page 553-556. IEEE, (2004)Discriminative training via minimization of risk estimates based on Parzen smoothing., and . Appl. Intell., 25 (1): 37-57 (2006)Advanced computational models and learning theories for spoken language processing., , , , and . IEEE Comput. Intell. Mag., 1 (2): 5-9 (2006)An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation., , , and . J. Signal Process. Syst., 93 (9): 1057-1084 (2021)Application of a generalized probabilistic descent method to dynamic time warping-based speech recognition., and . ICASSP, page 497-500. IEEE Computer Society, (1992)A new connected word recognition algorithm based on HMM/LVQ segmentation and LVQ classification., , and . ICASSP, page 113-116. IEEE Computer Society, (1991)Shift-invariant, multi-category phoneme recognition using Kohonen's LVQ2., and . ICASSP, page 81-84. IEEE, (1989)Filter bank design based on discriminative feature extraction., and . ICASSP (1), page 485-488. IEEE Computer Society, (1994)