We combine multiple description (MD) quantization, entropy coding, and data partitioning to improve the error resiliency of images over varying packet loss channels. Our proposed ...
A universal data model, named DG, is introduced to handle vectorized data uniformly during the whole recognition process. The model supports low level graph algorithms as well as h...
Local algorithms for non-linear dimensionality reduction [1], [2], [3], [4], [5] and semi-supervised learning algorithms [6], [7] use spectral decomposition based on a nearest neig...
The web graph follows the power law distribution and has a hierarchy structure. But neither the PageRank algorithm nor any of its improvements leverage these attributes. In this p...
Yizhou Lu, Benyu Zhang, Wensi Xi, Zheng Chen, Yi L...
We investigate an approach for routing in p2p networks called neighbor-of-neighbor greedy. We show that this approach may reduce significantly the number of hops used, when routi...