8. To facilitate subsequent numerical optimization, the definition space for each component of the ROIs is elucidated in Table 2. Table 1. Dataset based on inverse integration. DatasetNumber TrainVerifyTest ROI 1 2588803 369829 739658 ROI 2 2576679 368097 736194 ROI 3 2583546 369078 738156 ...
7.8.2 Considering the Effects of the Reduction Gear Train Most humanoid robots developed so far are equipped with gear trains with high reduction ratios in the joints. Such gears are generally characterized by a low joint backdrivability stemming from the friction in the gear transmission and the...
However, machine learning algorithms are based on learning paradigms and therefore require some overhead, such as sufficient computing power and the need for a sufficiently large dataset to train the algorithm. Without an adequate hardware assembly and acquisition environment, it is often not possible...
Therefore the SVM is applied to these pairs of grasp types and the feature extraction methods were evaluated accordingly.The classification tests were performed with leave-one-out method, where one sample was re-moved from the data set and the rest of the samples were used to train the SVM....
,n,djTdj⩽1}Based on stochastic approximations theory, online dictionary learning method is presented to train redundant dictionary with low computational cost and consumption.29 In online method, the samples of training set X={xi}i=1N are assumed as independently and identically distributed (i....
9 RegisterLog in Sign up with one click: Facebook Twitter Google Share on Facebook impulse response Acronyms Wikipedia [′im‚pəls ri‚späns] (control systems) The response of a system to an impulse which differs from zero for an infinitesimal time, but whose integral over time is...