Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
With an increasing use of data mining tools and techniques, we envision that a Knowledge Discovery and Data Mining System (KDDMS) will have to support and optimize for the followi...
Abstract— For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML) detection requires tremendous complexity as the number of antennas or modulation ...
In this paper, we proposed a new surface-based fractal information dimension (FID) method to quantify the cortical complexity. Unlike the traditional box-counting method to measure...
Yuanchao Zhang, Jiefeng Jiang, Lei Lin, Feng Shi, ...
– In this paper, a partial sphere decoding approach is proposed to reduce the computational complexity of implementing the iterative MAP receiver for spatial multiplexing system,...
Hyung Ho Park, Tae Young Min, Dong Seung Kwon, Chu...