S Calinon, A Billard - Proceedings of the ACM/IEEE international …, 2007 - dl.acm.org
We present an approach to teach incrementally human gestures to a humanoid robot. By using active teaching methods that puts the human teacher" in the loop" of the robot's …
Also referred to as learning by imitation, tutelage, or apprenticeship learning, Programming by Demonstration (PbD) develops methods by which new skills can be transmitted to a …
We propose a novel approach to online estimation of probability density functions, which is based on kernel density estimation (KDE). The method maintains and updates a non …
M Hu, Y Wang, Z Zhang, D Zhang… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Gait analysis provides a feasible approach for identification in intelligent video surveillance. However, the effectiveness of the dominant silhouette-based approaches is overly …
D Ying, Y Yan, J Dang, FK Soong - IEEE Transactions on Audio …, 2011 - ieeexplore.ieee.org
How to construct models for speech/nonspeech discrimination is a crucial point for voice activity detectors (VADs). Semi-supervised learning is the most popular way for model …
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental …
J DelPreto, D Rus - Proceedings of the 2020 ACM/IEEE International …, 2020 - dl.acm.org
As the capacity for machines to extend human capabilities continues to grow, the communication channels used must also expand. Allowing machines to interpret nonverbal …
This paper presents a new algorithm for unsupervised incremental learning based on a Bayesian framework. The algorithm, called IGMM (for Incremental Gaussian Mixture Model) …
K Gokcesu, MM Neyshabouri… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
We introduce an online outlier detection algorithm to detect outliers in a sequentially observed data stream. For this purpose, we use a two-stage filtering and hedging approach …