Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Effective service delivery capabilities are critical to the transformation of the Internet into a viable commercial infrastructure. At the present time, the architecture of the Int...
—An important application of binary-level reverse engineering is in reconstructing the internal logic of computer malware. Most malware code is distributed in encrypted (or “pa...
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...
Wen-Sheng Vincent Chu, Ju-Chin Chen, Jenn-Jier Jam...