Parameter variation due to manufacturing error will be an unavoidable consequence of technology scaling in future generations. The impact of random variation in physical factors s...
Ke Meng, Frank Huebbers, Russ Joseph, Yehea I. Ism...
In this paper, we present a new method for texture classification which we call the regularized simultaneous autoregressive method (RSAR). The regularization technique is introduc...
Abstract—We propose a method for the reconstruction of signals and images observed partially through a linear operator with a large support (e.g., a Fourier transform on a sparse...
Background: A key stage for all microarray analyses is the extraction of feature-intensities from an image. If this step goes wrong, then subsequent preprocessing and processing s...
Mike L. Smith, Mark J. Dunning, Simon Tavaré...
Background: In the analysis of microarray data one generally produces a vector of p-values that for each gene give the likelihood of obtaining equally strong evidence of change by...