In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
This paper investigates the use of phoneme class conditional probabilities as features (posterior features) for template-based ASR. Using 75 words and 600 words task-independent a...
Serena Soldo, Mathew Magimai-Doss, Joel Pinto, Her...
Abstract—We propose a sequential framework for the distributed multiple-sensor estimation and coding problem that decomposes the problem into a series of side-informed source cod...
In this paper, we study the issue of defending against adversarial localization in wireless sensor networks. Adversarial localization refers to attacks where an adversary attempts...
A method is introduced to track the object’s motion and estimate its pose from multiple cameras. Firstly pose estimation from one camera is explained. We show that pose estimati...