Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
Abstract-- The problem of private information "leakage" (inadvertently or by malicious design) from the myriad large centralized searchable data repositories drives the n...
Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poo...
In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
The use of antenna arrays at emission and reception seems to represent a prominent solution for future wireless systems, it improves data rates and enhances the quality of service....
Hanna Farhat, Guy Grunfelder, Alvaro Carcelen, Gha...
Multibiometric systems fuse information from different sources to compensate for the limitations in performance of individual matchers. We propose a framework for optimal combinati...
Karthik Nandakumar, Yi Chen, Sarat C. Dass, Anil K...