Local discriminative learning for pattern recognition
โ Scribed by Jing Peng; Bir Bhanu
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 382 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Linear discriminant analysis (LDA) is an effective tool in multivariate multigroup data analysis. A standard technique for LDA is to project the data from a high-dimensional space onto a perceivable subspace such that the data can be separated by visual inspection. The criterion of LDA, unfortunatel
Over the last several years, a major factor in reducing the error rate on most speech recognition systems has been the addition of new feature components to the frame vectors. However, because of the larger dimensionality of the frame feature vector, the number of model parameters and the computatio