We address the problem of preserving privacy in streams, which has received surprisingly limited attention. For static data, a well-studied and widely used approach is based on ra...
The web data or data originated on the Web contain information and knowledge which allows improving web site efficiency and effectiveness to attract and retain visitors. However, w...
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...
In 3D subband coding, Motion-Compensated Temporal Filtering (MCTF) technique, especially with the adaptive 5/3 wavelet kernel, efficiently exploits the temporal correlation among n...
Jiali Zheng, Xiangyang Ji, Guangnan Ni, Wen Gao, F...
Motivated by structural properties of the Web graph that support efficient data structures for in memory adjacency queries, we study the extent to which a large network can be com...
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, ...