Heterogeneous and multitask wireless sensor networks—Algorithms, applications, and challenges
J Plata-Chaves, A Bertrand, M Moonen… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Unlike traditional homogeneous single-task wireless sensor networks (WSNs),
heterogeneous and multitask WSNs allow the cooperation among multiple heterogeneous …
heterogeneous and multitask WSNs allow the cooperation among multiple heterogeneous …
Multitask learning over graphs: An approach for distributed, streaming machine learning
The problem of simultaneously learning several related tasks has received considerable
attention in several domains, especially in machine learning, with the so-called multitask …
attention in several domains, especially in machine learning, with the so-called multitask …
Node-specific diffusion LMS-based distributed detection over adaptive networks
S Al-Sayed, J Plata-Chaves, M Muma… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Diffusion adaptation techniques have shown great promise in addressing the problem of
node-specific distributed estimation where the nodes in the network are interested in …
node-specific distributed estimation where the nodes in the network are interested in …
Multi-task wireless sensor network for joint distributed node-specific signal enhancement, LCMV beamforming and DOA estimation
We consider a multi-task wireless sensor network (WSN) where some of the nodes aim at
applying a multi-channel Wiener filter to denoise their local sensor signals, whereas others …
applying a multi-channel Wiener filter to denoise their local sensor signals, whereas others …
Social learning with disparate hypotheses
In this paper we study the problem of social learning under multiple true hypotheses and self-
interested agents. In this setup, each agent receives data that might be generated from a …
interested agents. In this setup, each agent receives data that might be generated from a …
Gravitational clustering: a simple, robust and adaptive approach for distributed networks
Distributed signal processing for wireless sensor networks enables that different devices
cooperate to solve different signal processing tasks. A crucial first step is to answer the …
cooperate to solve different signal processing tasks. A crucial first step is to answer the …
Self-aware social learning over graphs
In this paper we study the problem of social learning under multiple true hypotheses and self-
interested agents that exchange information over a graph. In this setup, each agent receives …
interested agents that exchange information over a graph. In this setup, each agent receives …
In-network adaptive cluster enumeration for distributed classification and labeling
FK Teklehaymanot, M Muma, J Liu… - 2016 24Th european …, 2016 - ieeexplore.ieee.org
A crucial first step for signal processing decentralized sensor networks with node-specific
interests is to agree upon a common unique labeling of all observed sources in the network …
interests is to agree upon a common unique labeling of all observed sources in the network …
Robust and adaptive diffusion-based classification in distributed networks
Distributed adaptive signal processing and communication networking are rapidly
advancing research areas which enable new and powerful signal processing tasks, eg …
advancing research areas which enable new and powerful signal processing tasks, eg …
Adaptive diffusion-based track assisted multi-object labeling in distributed camera networks
FK Teklehaymanot, M Muma… - 2017 25th European …, 2017 - ieeexplore.ieee.org
The tracking and labeling of multiple objects in multiple cameras is a fundamental task in
applications such as video surveillance, autonomous driving, and sports analysis. In an ad …
applications such as video surveillance, autonomous driving, and sports analysis. In an ad …