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155
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ICASSP
2011
IEEE
14 years 7 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
144
Voted
JMLR
2010
206views more  JMLR 2010»
14 years 10 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
144
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Fast speaker adaptation using non-negative matrix factorization
This paper describes a new method for fast speaker adaptation in large vocabulary recognition systems. As in most HMM-based recognizers, the observation densities are modeled as a...
Jacques Duchateau, Tobias Leroy, Kris Demuynck, Hu...
119
Voted
FCCM
1998
IEEE
107views VLSI» more  FCCM 1998»
15 years 8 months ago
Frequency-Domain Sonar Processing in FPGAs and DSPs
Over the past year we have been exploring the use of FPGA-based custom computing machines for several sonar beamforming applications, including time-domain beamforming[1], frequen...
Paul Graham, Brent E. Nelson
159
Voted
JMLR
2012
13 years 6 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio