This paper presents a new evolutionary approach for adaptive combination of multiple biometrics to dynamically ensure the performance for the desired level of security. The adapti...
In today’s computing environment, unauthorized accesses and misuse of critical data can be catastrophic to personal users, businesses, emergency services, and even national defe...
Jianfeng Peng, Chuan Feng, Haiyan Qiao, Jerzy W. R...
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
We introduce a new classification algorithm based on the concept of Symmetric Maximized Minimal distance in Subspace (SMMS). Given the training data of authentic samples and impos...
This paper proposes a method for computing fast approximations to support vector decision functions in the field of object detection. In the present approach we are building on an...