Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
Background: Detecting remote homologies by direct comparison of protein sequences remains a challenging task. We had previously developed a similarity score between sequences, cal...
Abstract—In modern DSL networks, crosstalk among different lines (i.e., users) is the major source of performance degradation. Dynamic Spectrum Management (DSM) refers to a set o...
Paschalis Tsiaflakis, Yung Yi, Mung Chiang, Marc M...
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
With the rapid growth of computer networks and network infrastructures and increased dependency on the internet to carry out day-to-day activities, it is imperative that the compo...