Kernel coupling refers to the effect that kernel i has on kernel j in relation to running each kernel in isolation. The two kernels can correspond to adjacent kernels or a chain ...
Jonathan Geisler, Valerie E. Taylor, Xingfu Wu, Ri...
Random testing is not only a useful testing technique in itself, but also plays a core role in many other testing methods. Hence, any significant improvement to random testing ha...
Tsong Yueh Chen, Fei-Ching Kuo, Robert G. Merkel, ...
Abstract. To integrate information, data in different formats, from different, potentially overlapping sources, must be related and transformed to meet the users' needs. Ten y...
Laura M. Haas, Martin Hentschel, Donald Kossmann, ...
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
Outdoor face recognition is among the most challenging problems for face recognition. In this paper, we develop a discriminant mutual subspace learning algorithm for indoor and ou...