Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
combinFormation is a tool that enables browsing and collecting information elements in a generative space. By generative, we mean that the tool is an agent that automatically retr...
Andruid Kerne, Vikram Sundaram, Jin Wang, Madhur K...
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...
Most information extraction (IE) approaches have considered only static text corpora, over which we apply IE only once. Many real-world text corpora however are dynamic. They evol...
Fei Chen 0002, Byron J. Gao, AnHai Doan, Jun Yang ...