Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Image splicing detection has been considered as one of the most challenging problems in passive image authentication. In this paper, we propose an automatic detection framework to ...
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
The objective of this research is to convert ordinary idle PCs into virtual clusters for executing parallel applications. The paper introduces VolpexMPI that is designed to enable ...
Troy LeBlanc, Rakhi Anand, Edgar Gabriel, Jaspal S...
Despite a big progress in solving planning problems, more complex problems still remain hard and challenging for existing planners. One of the most promising research directions i...