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For survival analysis, the samples are always tested under various conditions, and the test results are extrapolated from the test conditions to the normal conditions. To assess the survivability as precisely as possible, a method of integrated survival analysis based on location scale model was proposed, using the test data under varied conditions. In this method, the location parameter was assumed...
Reliable road detection is a key issue for modern Intelligent Vehicles, since it can help to identify the driv-able area as well as boosting other perception functions like object detection. However, real environments present several challenges like illumination changes and varying weather conditions. We propose a multi-modal road detection and segmentation method based on monocular images and HD...
l0 norm is an effective constraint used to solve EEG inverse problem for a sparse solution. However, due to the discontinuous and un-differentiable properties, it is an open issue to solve the l0 norm constrained problem, which is usually instead solved by using some alternative functions like l1 norm to approximate l0 norm. In this paper, a continuous and differentiable function having the same form...
To estimate intracranial pressure (ICP) noninvasively, a data mining framework was proposed in our previous work. In the procedure, the mapping function plays an important role to estimate ICP based on the feature vector extracted from arterial blood pressure (ABP) and flow velocity (FV), which is translated to the estimated errors by the mapping function for each entry in the database. In this paper,...
A data mining framework has been proposed to estimate intracranial pressure (ICP) non-invasively in our previous work. In the corresponding approach, the feature vector extracted from arterial blood pressure (ABP) and flow velocity (FV) is translated to the estimated errors by the mapping function for each entry in the database. In this paper, three different mapping function solutions, linear least...
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