This paper describes a new, powerful technique of fingerprint verification based on a perturbation method. The proposed method consists of four parts. The first part performs loca...
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
In this paper, we present an ongoing work to discover maximal frequent itemsets in a transactional database. We propose an algorithm called ABS for Adaptive Borders Search, which ...
The authors have been actively engaged in E-learning starting in 1996, at the College of Staten Island, CUNY, a public university in New York City, New York, U.S.A. and Shanghai T...
Emile Chungtian Chi, Roberta Marsha Klibaner, Ke-P...
A fully functional web interface (NessusWeb) for the Nessus network security scanner has been developed. NessusWeb provides public accessibility for authorized users and supports ...