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Vascular interventional robot is becoming increasingly popular in assisting doctors for the treatment of cardiovascular diseases (CVDs). However, natural manipulations and motion patterns of surgeons in percutaneous coronary intervention (PCI), including finger motion and hand motion, are potentially altered more or less through this solution. Since clinical success is highly dependent on the skills...
A sparse algorithm, based on empirical feature selection, is investigated from the viewpoint of learning theory. It is a novel way to realize sparse empirical feature-based learning different from the regularized kernel projection machines. Représenter theorem and error analysis of this algorithm are established without sparsity assumption of regression function. An empirical study verifies our theoretical...
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