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Genotype imputation, where missing genotypes can be computationally imputed, is an essential tool in genomic analysis ranging… Expand Linear discriminant analysis (LDA) is a well-known technique for linear classification, feature extraction, and dimension… Expand With the increase of data volume and the rapid development of modern radar, more requirements are put forward for radar target… Expand Attention has been focused on the radar moving target detection under limited radar resources conditions and complex environment… Expand In this paper, we propose a spatial-spectral one-class sparse representation classifier (OCSRC) method to solve the multi… Expand Setaria viridis is a rapid-life-cycle model panicoid grass. To identify genes that may contribute to inflorescence architecture… Expand Voxelized representations of complex 3D scenes are widely used to accelerate visibility queries in many GPU rendering techniques… Expand We present a framework for handwritten Bangla digit recognition using Sparse Representation Classifier. The classifier assumes… Expand In recent years, research on dictionary design for sparse representation(SR) has changed from pre-defined to training. A… Expand The underdetermined case in blind source separation, that is, separation of n sources from m (m<n) linearly mixtures, is probed… Expand