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SVMSupport Vector Machines
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SVMSmart Valve Monitor (Rotork)
SVMSemi Volatile Metal
SVMStructural Verification Model
SVMSystems and Virtualization Management Conference
SVMShip Valve Manual
SVMSystem Validation Model
SVMStrategic Option Valuation Model
SVMSystème Vision Mesure (French: Vision Measuring System)
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References in periodicals archive ?
With regard to SVM, she said they were also the right partner as the movement's responsibility involved supporting all sports structures in the country.
"Here, we demonstrate that a support vector machine (SVM) can classify agonal breathing instances in real-time within a bedroom environment," reads the abstract of the study on the SVM.
[7] used the zed stereo camera to get the gesture depth image, segmented the gesture image by the depth information and color information detection, carried out the fingertip detection, and recognized the five kinds of digital gestures by support vector machine (SVM).
According to an Education Ministry (KPM) statement issued tonight, the SVM Examination will be held according to schedule including Perak even though the state government had declared tomorrow as a public holiday in the state.
In a similar way, the second SVM was trained with nuclear logs, image tool resistivity and fractal dimension of borehole images, but in this case, it was trained with interpreted intervals of calcareous shale interbedded with limestone of the pilot well (Figure 6).
Prior to joining SVM, Truong was Chief Information Officer at UniRush, LLC, a payments program manager and service provider in the financial services industry, where he was responsible for information technology, technology operations, information security, product innovation and delivery.
The 2.7-litre GT-R engine provides up to 600bhp in the NISMO version, but SVM is offering the vehicle with forged internals, a new cooling system, and large turbos.
We make an extensive comparison of the method with GMM, SVM, DNN based methods using long-term and short-term features.
worked out an incremental algorithm based on SVM, which retains only the support vector set as a historical training sample [13-18].