نتایج جستجو برای: mt system mahalanobis distance md feature value effectiveness analysis
تعداد نتایج: 5483369 فیلتر نتایج به سال:
Abstract Epilepsy is a neurological disorder characterized by recurrent seizures and has high incidence rate. The aim of this research to classify EEG signals as either focal non-focal in order identify the epileptogenic area brain, which can be surgically treated manage epilepsy. In paper, was proposed classification method based on higher spectra (HOS) parameters four different classifiers: l...
This paper concerns a comparative study on long term text-independent speaker identification using statistical features. Performances of six statistical methods are compared. Four of them are the distance measures (the City block, the Euclidean, the Weighted Euclidean, and the Mahalanobis distance measures). The other two are the Gaussian probability density estimation and the probability estim...
INTRODUCTION Data analysis in Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) is highly sophisticated and can be thought of as a “pipeline” of closely connected processing and modeling steps. Cluster analysis of the orientation of the fiber direction and fiber tracts is typically carried on the major eigenvector. This type of cluster analysis is also important in reducing sorting bias in t...
Monitoring the condition of railway tracks effectively increases safety regional railways. A system that uses a compact on-board sensing device was previously developed for monitoring track However, this does not consider running speed vehicle. In study, we propose two new methods diagnosing considering travelling vehicle: one based on Mahalanobis distance and other Gaussian process regression....
abstract— due to the daily mass production and the widespread variation of medical x-ray images, it is necessary to classify these for searching and retrieving proposes, especially for content-based medical image retrieval systems. in this paper, a medical x-ray image hierarchical classification structure based on a novel merging and splitting scheme and using shape and texture features is prop...
2167. Relatedness of MRSA and VRE Strains Isolated from Post-acute Care Patients and Their Environment: a Longitudinal Assessment Marco Cassone, MD, PhD1; Chelsie Armbruster, PhD; Evan S. Snitkin, PhD; Kristen Gibson, MPH; Julia Mantey, MPH, MUP; Katherine C. Reyes, MD, MPH; Sarah Altamimi, MD; Mary Beth Perri, MT; Marcus J. Zervos, MD and Lona Mody, MD, MSc; University of Michigan Medical Scho...
We propose to learn multiple local Mahalanobis distance metrics to perform knearest neighbor (kNN) classification of temporal sequences. Temporal sequences are first aligned by dynamic time warping (DTW); given the alignment path, similarity between two sequences is measured by the DTW distance, which is computed as the accumulated distance between matched temporal point pairs along the alignme...
2167. Relatedness of MRSA and VRE Strains Isolated from Post-acute Care Patients and Their Environment: a Longitudinal Assessment Marco Cassone, MD, PhD1; Chelsie Armbruster, PhD; Evan S. Snitkin, PhD; Kristen Gibson, MPH; Julia Mantey, MPH, MUP; Katherine C. Reyes, MD, MPH; Sarah Altamimi, MD; Mary Beth Perri, MT; Marcus J. Zervos, MD and Lona Mody, MD, MSc; University of Michigan Medical Scho...
2167. Relatedness of MRSA and VRE Strains Isolated from Post-acute Care Patients and Their Environment: a Longitudinal Assessment Marco Cassone, MD, PhD1; Chelsie Armbruster, PhD; Evan S. Snitkin, PhD; Kristen Gibson, MPH; Julia Mantey, MPH, MUP; Katherine C. Reyes, MD, MPH; Sarah Altamimi, MD; Mary Beth Perri, MT; Marcus J. Zervos, MD and Lona Mody, MD, MSc; University of Michigan Medical Scho...
(LTCF) Residents are Similar to Strains Causing Infection in both LTCF and Hospital Patients Suggesting a Shared Continuum of Transmission Susan M. Pacheco, MD; Curtis J. Donskey, MD; Matthew Samore, MD; Jeanmarie Mayer, MD; Nimalie Stone, MD; Carolyn Gould, MD; L. Clifford Mcdonald, MD; Laurica A. Petrella, BS; Susan Sambol, BS, MT; Annette Jencson, BS, MT, CIC; Venkata Sunkesula, MD, MS; Dale...
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