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IJON
2007
184views more  IJON 2007»
15 years 4 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
123
Voted
ICASSP
2010
IEEE
15 years 4 months ago
Distributed bearing estimation via matrix completion
We consider bearing estimation of multiple narrow-band plane waves impinging on an array of sensors. For this problem, bearing estimation algorithms such as minimum variance disto...
Andrew Waters, Volkan Cevher
COMCOM
2006
126views more  COMCOM 2006»
15 years 4 months ago
Distributed and energy-efficient target localization and tracking in wireless sensor networks
In this paper, we propose and evaluate a distributed, energy-efficient, light-weight framework for target localization and tracking in wireless sensor networks. Since radio commun...
Jeongkeun Lee, Kideok Cho, Seungjae Lee, Taekyoung...
150
Voted
GLOBECOM
2009
IEEE
15 years 8 months ago
Multi-Frame Distributed Protocol for Analog Network Coding in Slow-Fading Channels
The wireless network scenario here is based on N users that communicate one with the others through a central relay node by adopting the Analog Network Coding (ANC) paradigm. In th...
Jonathan Gambini, Umberto Spagnolini
NIPS
2007
15 years 5 months ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens