We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
Background: Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly affects...
—The identification of a person on the basis of scanned images of handwriting is a useful biometric modality with application in forensic and historic document analysis and const...
Abstract. While cycle-accurate simulation tools have been widely used in modeling high-performance processors, such an approach can be hindered by the increasing complexity of the ...
Jia Yu, Jun Yang 0002, Shaojie Chen, Yan Luo, Laxm...
We focus on a multidimensional field with uncorrelated spectrum, and study the quality of the reconstructed signal when the field samples are irregularly spaced and affected by in...