In this paper, we present efficient HMM-based techniques for estimating missing features. By assuming speech features to be observations of hidden Markov processes, we derive a mi...
In this work, we propose adaptive frequency-domain biased estimation algorithms with mechanisms to automatically adjust the shrinkage factors. The proposed estimation algorithms i...
Social network sites rely on the contributions of their members to create a lively and enjoyable space. Recent research has focused on using personalization and recommender techno...
Recent years have seen a growing interest in autonomic computing, an approach to providing systems with self managing properties [1]. Autonomic computing aims to address the incre...
Noel De Palma, Konstantin Popov, Nikos Parlavantza...
Conflict and disruption are a part of everyday life, yet research in the home largely examines consensus and rituals. In this paper, we use Holmes and Rahe's categorization o...