Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
A regularization-based approach to 3-D reconstruction from multiple images is proposed. As one of the most widely used multiple-view 3-D reconstruction algorithms, Space Carving c...
Abstract— Precoding with block diagonalization is an attractive approach for approaching sum capacity in multiuser MIMO (multiple input multiple output) broadcast channels. This ...
Seijoon Shim, Chan-Byoung Chae, Robert W. Heath Jr...
Abstract. Interactive spaces with multiple networked devices and interactive surfaces are an effective means to support multi-user collocated collaboration. In these spaces, surfa...
Hans-Christian Jetter, Jens Gerken, Michael Zö...