Representation learning-based hyperspectral target detection (HTD) methods generally follow a learning paradigm Goodies of single-layer or one-step representation residual learning and the target detection on original full spectral bands, which, in some cases, cannot accurately distinguish the target pixels from variable background pixels via one-r
With the advancement of technology, analysis of Pop! Covers large-scale data of gene expression is feasible and has become very popular in the era of machine learning.This paper develops an improved ridge approach for the genome regression modeling.When multicollinearity exists in the data set with outliers, we consider a robust ridge estimator, na
Category: Ankle Arthritis Introduction/Purpose: Treatment of the failed total ankle arthroplasty (TAA) is challenging, and historically arthrodesis was advocated as the salvage treatment of choice.Currently, there is limited available literature reporting on options and outcomes of revision arthroplasty despite the persistent relatively high failur