Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
— To address the performance limitation brought by the scaling issues of on-chip global wires, a new configuration for global wiring using on-chip lossy transmission lines(T-lin...
Channel-optimized index assignment of source codewords is arguably the simplest way of improving transmission error resilience, while keeping the source and/or channel codes intac...
Xiaolin Wu, Hans D. Mittelmann, Xiaohan Wang, Jia ...
Privacy preserving data mining has been investigated extensively. The previous works mainly fall into two categories, perturbation and randomization based approaches and secure mu...
Li Liu, Murat Kantarcioglu, Bhavani M. Thuraisingh...
In this paper, we propose a novel algorithm, named as Spatially Varying Transform (SVT). The basic idea of SVT is that we do not restrict the transform coding inside normal block b...
Cixun Zhang, Kemal Ugur, Jani Lainema, Moncef Gabb...