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ICASSP
2009
IEEE
16 years 2 months ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...
ICASSP
2009
IEEE
16 years 2 months ago
Voice conversion using Artificial Neural Networks
In this paper, we propose to use Artificial Neural Networks (ANN) for voice conversion. We have exploited the mapping abilities of ANN to perform mapping of spectral features of ...
Srinivas Desai, E. Veera Raghavendra, B. Yegnanara...
ICASSP
2009
IEEE
16 years 2 months ago
Functional estimation in Hilbert space for distributed learning in wireless sensor networks
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
Paul Honeine, Cédric Richard, José C...
ICASSP
2009
IEEE
16 years 2 months ago
Spatial super-resolution of a diffusion field by temporal oversampling in sensor networks
We study the spatial-temporal sampling of a linear diffusion field, and show that it is possible to compensate for insufficient spatial sampling densities by oversampling in tim...
Yue M. Lu, Martin Vetterli
ICASSP
2009
IEEE
16 years 2 months ago
Filter-and-forward distributed beamforming for relay networks in frequency selective fading channels
A half-duplex distributed beamforming technique for relay networks with frequency selective fading channels is developed. The network relays use the filter-and-forward (FF) strat...
Haihua Chen, Alex B. Gershman, Shahram Shahbazpana...