Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
We investigate the effects of dimensionality reduction using different techniques and different dimensions on six two-class data sets with numerical attributes as pre-processing fo...
Frank Plastria, Steven De Bruyne, Emilio Carrizosa
— Although the LUT (look-up table) size of FPGAs has been optimized for general applications, complicated designs may contain a large number of cascaded LUTs between flip-flops...
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
Error-tolerance is an innovative way to enhance the effective yield of IC products. Previously a test methodology based on error-rate estimation to support error-tolerance was pro...