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In many data analysis tasks, one is often confronted with very high dimensional data. The manifold assumption, which states that the data is sampled from a submanifold embedded in much higher dimensional Eucli...
Resting-state functional connectivity reveals intrinsic, spontaneous networks that elucidate the functional architecture of the human brain. The default mode network (DMN) is the most important and stable intr...
Recently, much attention has been paid to Hybrid Brain-Computer Interfaces (BCI). In this study, we developed a hybrid BCI speller that simultaneously utilized information from both hand Electromyography (EMG)...
Psoriasis is a chronic and immune-mediated inflammatory skin disorder associated with complex genetic susceptibility. Studies focused on the immunological mechanism have revealed innate and adaptive immune act...
On learning the Gaussian mixture model, existing BYY learning algorithms are featured by a gradient-based line search with an appropriate stepsize. Learning becomes either unstable if the stepsize is too large...
Multivariate classification techniques have proven to be powerful tools for distinguishing experimental conditions in single sessions of functional magnetic resonance imaging (fMRI) data. But they are vulnerab...
