From our early fitting computations, which computed all lifetimes and amplitudes, we observed that the first two components consistently yielded lifetime values close to 0.395 and 1.0 ns.
The first surgical robot, PUMA 560, was used in 1985 in a stereotaxic operation, in which computed tomography was used to guide the robot as it inserted a needle into the brain for biopsy, a procedure previously subject to error from hand tremors during needle placement.
Huang et al. [10] used a kernel mean matching method (KMM) which computed the importance by matching test and training distributions in a reproducing-kernel Hilbert space.
It works by applying a transformation to the source image which computed a value for how similar it is to the target.
The non-rigid registration algorithm extended the adaptive bases algorithm (ABA) by incorporating a tumor volume-preserving constraint, which computed the Jacobian determinant over the tumor regions as outlined on the PET/CT images, into the cost function.
To find similar tweets that are possibly retweets of test tweets, we used the result scores in the kNN method, which computed Cosine similarity between each tweet in the training set and each tweet in the test set.
