High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Self-protecting systems require the ability to instantaneously detect malicious activity at run-time and prevent execution. We argue that it is impossible to perfectly self-protec...
Ashvin Goel, Wu-chang Feng, Wu-chi Feng, David Mai...
Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. On...
Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Yin...
We present a context- and path-sensitive algorithm for detecting memory leaks in programs with explicit memory management. Our leak detection algorithm is based on an underlying e...
This paper presents an analysis of the future of Embedded Linux in the PostPC industry. This analysis is carried out by first examining the current forces at work in the PostPC ma...