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ICASSP
2010
IEEE
15 years 4 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao
ACTAC
2008
145views more  ACTAC 2008»
15 years 4 months ago
Sentence Alignment of Hungarian-English Parallel Corpora Using a Hybrid Algorithm
We present an ecient hybrid method for aligning sentences with their translations in a parallel bilingual corpus. The new algorithm is composed of a length-based and anchor matchi...
Krisztina Tóth, Richárd Farkas, Andr...
CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 3 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein
CORR
2010
Springer
253views Education» more  CORR 2010»
15 years 3 months ago
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCu...
COR
2007
143views more  COR 2007»
15 years 3 months ago
A memetic algorithm for channel assignment in wireless FDMA systems
A new problem encoding is devised for the minimum span frequency assignment problem in wireless communications networks which is compact and general. Using the new encoding, which...
Sung-Soo Kim, Alice E. Smith, Jong-Hyun Lee