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» Signal Processing in Large Systems: a New Paradigm
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ICASSP
2011
IEEE
14 years 1 months ago
A new structure with spectrum-tuning of residual noise for active noise control
Typical active noise control (ANC) system aims primarily at reducing the acoustic noise over the entire frequency band. Non-uniformity of human hearing response in frequency domai...
Hua Bao, Issa M. S. Panahi
CVPR
1997
IEEE
15 years 11 months ago
Global Training of Document Processing Systems Using Graph Transformer Networks
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
Léon Bottou, Yoshua Bengio, Yann LeCun
PERCOM
2009
ACM
15 years 10 months ago
Mobile Ad Hoc Networks: the DHT paradigm
In this paper, a DHT-based routing protocol which integrates at the network layer both traditional direct routing, i.e. MANET routing, and indirect key-based routing, i.e. P2P rout...
Marcello Caleffi
ICASSP
2011
IEEE
14 years 1 months ago
Nonstationary and temporally correlated source separation using Gaussian process
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
Hsin-Lung Hsieh, Jen-Tzung Chien
ICASSP
2008
IEEE
15 years 3 months ago
Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing
In this work, we implement a real-time visual tracker that targets the position and 3D pose of objects in video sequences, specifically faces. Using Stream Processors for perform...
Oscar Mateo Lozano, Kazuhiro Otsuka