Feature Selection in Length-variant Pattern Recognition Using Non-linear Interpolation Based on Geodesic Distance
在变长模式识别中利用测地距离的非线性插值进行特征选取

Discuss the feature selection in length-variant pattern recognition.Non-linear interpolation based on geodesic distances is used in feature selection.Length-variant patterns are mapped into Length-invariant patterns by a non-linear interpolation;then traditional pattern recognition methods for length-invariant patterns can be used in solving the rec- ognition problem.Experiments of speaker-independent Mandarin isolated word recognition were performed to evaluate the performance of the proposed method.And support vector machine(SVM)is used as basic classification method. Experimental result shows that the proposed method has achieved better performance than traditional method such as linear interpolation,and computational complexity increased slightly.