—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
A novel technique to search for functional modules in a protein-protein interaction network is presented. The network is represented by the adjacency matrix associated with the und...
We present a new property called constraint looseness and show how it can be used to estimate the level of local consistency of a binary constraint network. Speci cally, we presen...
Abstract. The degree of locality of a program re ects the level of temporal and spatial concentration of related data and computations. Locality optimization can speed up programs ...
We present a novel expert-model of Query-Driven Locally Adaptive (QDLA) Fisher faces for robust face recognition. For each query face, the proposed method first fits local Fisher ...
Yun Fu, Junsong Yuan, Zhu Li, Thomas S. Huang, Yin...