In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
Towards photo-realistic 3D scene reconstruction from range and color images, we present a statistical technique for multimodal image registration. Statistical tools are employed t...
Malware clustering and classification are important tools that enable analysts to prioritize their malware analysis efforts. The recent emergence of fully automated methods for ma...
We consider the problem of designing a distributed algorithm that, given an arbitrary connected graph G of nodes with unique labels, converts G into a sorted list of nodes. This a...
Recent technological advances have opened up several distributed real-time applications involving battery-driven embedded devices with local processing and wireless communication ...