with unary potentials given by the logarithm of the probability scores predicted by the segmentation network, and pairwise potentials of fixed parametric form that depend only on the image pixels. We downscale the imageX, so that it matches the resolution of the segmentation mask, produced by th...
The modeling procedures of SVM, random forest (RF), back propagation neural network (BPNN), long short-term memory (LSTM), and genetic algorithm-back propagation (GA-BP) methods are elucidated through a tutorial example. The simulation results demonstrated that all five methods yielded accurate ...
In our review, we will consider the methods and models of the commercial VFM systems listed in Table 1. All these products have conceptually the same structure, i.e. utilize fluid properties and production system models together with the data validation and reconciliation algorithm to estimate the...
Figure 4.1. A test that couples to the SUT’s algorithm. Such a test expects to see one particular implementation (the specific steps the SUT must take to deliver the result) and therefore is brittle. Any refactoring of the SUT’s implementation would lead to a test failure....
(1) is known as the FFT algorithm. Using the symmetric and periodic nature of the exponential factor in the DFT calculation equation, FFT can reduce repetitive calculations [42]. FFT calculations have a high-frequency resolution but are also easily affected by EEG signal noise, so an average ...
interpretations of RSIs rely on texture analysis. To enhance RSI-oriented algorithm innovation and move toward full automation, it is crucial to understand how humans process aerial images. Since none of us have lived in the sky, a core question is our ability to identify landscape features and...
Theselectionofthebestalgorithmforoptimumpulsewidthmodulationisanimportantprocessthatcan resultinimprovedconverterefficiency,betterload(motor)efficiency,andreducedelectromagnetic interference.However,theidentificationofthebestapproachisacomplexprocessrequiringextensive mathematicalmanipulation. PulseWidthModulationforPowerConverters...
SVM: support vector machines TC: text categorization VSC: vector space characterization References Download references Author information Authors and Affiliations School of Electrical and Computer Engineering, Georgia Institute of Technology, 777 Atlantic Drive NW, 30332-0250, Atlanta, GA, USA ...
Successive Projection Algorithm SR: Selectivity Ratio SSD: Single Shot Multibox Detector STEPDISC: Stepwise Discriminant Analysis SVM: Support Vector Machine VGG: Visual Geometry Group VIP: Variable Importance in Projection VM: VideometerLab 4 WT: Wavelet Transform YOLO: You Only Look Once...
and SVM classification. For motor-imagery detection, the signal processing stages include common average reference (CAR) spatial filtering, band-pass filtering of the specific mu rhythm band (8–13 Hz), feature extraction based on a CSP algorithm, and SVM classification. The algorithm for target...