| An Improved Boundary Uncertainty-Based Estimation For Classifier Evaluation | 0 | 0.34 | 2021 |
| A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection | 0 | 0.34 | 2020 |
| Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers. | 0 | 0.34 | 2019 |
| Maximum Bayes Boundary-Ness Training For Pattern Classification. | 0 | 0.34 | 2019 |
| Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition. | 0 | 0.34 | 2019 |
| OPTIMAL CLASSIFIER MODEL STATUS SELECTION USING BAYES BOUNDARY UNCERTAINTY | 1 | 0.48 | 2018 |
| Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method | 0 | 0.34 | 2018 |
| Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification. | 7 | 0.46 | 2017 |
| Speaker Adaptive Training Localizing Speaker Modules In Dnn For Hybrid Dnn-Hmm Speech Recognizers | 0 | 0.34 | 2016 |
| Formulation Of The Kernel Logistic Regression Based On The Confusion Matrix | 1 | 0.35 | 2015 |
| Speaker Adaptive Training For Deep Neural Networks Embedding Linear Transformation Networks | 3 | 0.39 | 2015 |
| Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination | 0 | 0.34 | 2014 |
| Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training | 1 | 0.36 | 2014 |
| Minimum classification error vs. maximum margin: How should we penalize unseen samples? | 0 | 0.34 | 2012 |
| Minimum classification error training with automatic setting of loss smoothness | 3 | 0.41 | 2011 |
| Minimum classification error training with geometric margin enhancement for robust pattern recognition | 1 | 0.35 | 2011 |
| Minimum Error Classification With Geometric Margin Control | 5 | 0.46 | 2010 |
| A new approach to designing a feature extractor in speaker identification based on discriminative feature extraction | 13 | 1.02 | 2001 |
| Speaker recognition based on discriminative feature extraction - optimization of mel-cepstral features using second-order all-pass warping function | 1 | 0.37 | 1999 |
| Minimum Detection Error Training For Acoustic Signal Monitoring | 1 | 0.43 | 1998 |
| Speech segmentation and clustering problem based on an unknown-multiple N signal source model - an application to segmented speech clustering based on speaker features. | 0 | 0.34 | 1994 |
