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ICASSP
2011
IEEE
13 years 6 days 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...
JMLR
2010
206views more  JMLR 2010»
13 years 3 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...
ICASSP
2008
IEEE
14 years 2 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...
FCCM
1998
IEEE
107views VLSI» more  FCCM 1998»
14 years 22 days 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
JMLR
2012
11 years 11 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