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» Signal Processing in Large Systems: a New Paradigm
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ICASSP
2011
IEEE
12 years 11 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
14 years 9 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
14 years 8 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
12 years 11 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
14 years 2 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