Feature extraction based on minimum classification error/generalized probabilistic descent method-Reference-Cited by-同舟云学术

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Feature extraction based on minimum classification error/generalized probabilistic descent method

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Container-title:IEEE International Conference on Acoustics Speech and Signal Processing
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Author:

Biem A.,Katagiri S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx2/1051/7685/00319289.pdf?arnumber=319289

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural network classifier and multiple hypothesis image segmentation for dietary assessment using calorie calculator;The Imaging Science Journal;2017-08-17

2. Multiple Hypotheses Image Segmentation and Classification With Application to Dietary Assessment;IEEE Journal of Biomedical and Health Informatics;2015-01

3. High-accuracy hierarchical parallel technique for hidden Markov model-based 3D magnetic resonance image brain segmentation;Concurrency and Computation: Practice and Experience;2012-11-16

4. Discriminative feature extraction for speech recognition using continuous output codes;Pattern Recognition Letters;2012-10

5. Optimized discriminative transformations for speech features based on minimum classification error;Pattern Recognition Letters;2011-05

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