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This paper describes a novel speech visualization method that creates a readable pattern based on locally linear embedding (LLE). LLE is an unsupervised learning algorithm for feature extraction. If the speech variability is described by a small number of continuous features, then we can imagine the data as lying on a low dimensional manifold in the high(More)
A four-generation pedigree of familial primary pulmonary hypertension (FPPH) with 14 alive members was collected. In the family, three of the 14 alive familial members were diagnosed as FPPH. Mutations in bone morphogenetic protein receptor-II (BMPR-II) gene were screened by using sequencing analysis. A C-to-T transition at position 1471 in exon 11 of the(More)
This paper describes a novel speech visualization method that creates a readable pattern based on robust self-organizing map (RSOM). According to SOM, RSOM introduces a time enhanced mechanism to improve system performance. The method remedies the defect that SOM only provides spatial topographic map ignoring temporal factor which is extremely important for(More)
Though Fisher discriminant analysis (FDA) is an outstanding method for fault diagnosis, it is difficult to extract the discriminant information in complex industrial environment. One of the reasons is that FDA can not remain the geometric structure information of the sample space truly due to non-Gaussian and nonlinear structures characteristics of data in(More)
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