Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
We propose a general method that parameterizes general surfaces with complex (possible branching) topology using Riemann surface structure. Rather than evolve the surface geometry...
Yalin Wang, Xianfeng Gu, Kiralee M. Hayashi, Tony ...
A new method for the lossy compression of segmentation maps is presented. In the first stage of the proposed algorithm, region boundary segments are coded, providing a coarse poly...
The heterogeneous multiprocessor task partitioning with replication problem involves determining a mapping of recurring tasks upon a set consisting of different processing units i...