A Tutorial On Hidden Markov Models and Selected Applications in Speech Recognition
A Tutorial On Hidden Markov Models and Selected Applications in Speech Recognition
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A Tutorial On Hidden Markov Models and Selected Applications in Speech Recognition
An Efficient Feature Extraction Algorithm for the Recognition of Handwritten Arabic Digits
support vector machines (C), can be used for pattern classification, pattern recognition.
FACE RECOGNITION USING PRINCIPAL COMPONENTS ANALYSIS task. To this package four options for the algorithms, ...
Specch Recognition system using MATLAB. It includes Viterbi Forwarding and backtracking Algorithm . First it includes Fe...
it is a good paper about of pca in pattern recognition problems.
Isolated Speech Recognition Process that using the Linux to run the program
·Face Recognition Using Component-based SVM Classification
使用分解聚类算法在IRIS数据上进行聚类分析,IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成,模式类别数为3,特征维数是4,每类各有50个模式样本,总共有150个样本。
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition