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ICASSP
2011
IEEE
13 years 1 months ago
Sparse coding of auditory features for machine hearing in interference
A key problem in using the output of an auditory model as the input to a machine-learning system in a machine-hearing application is to find a good feature-extraction layer. For ...
Richard F. Lyon, Jay Ponte, Gal Chechik
ICASSP
2011
IEEE
13 years 1 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
ICCAD
1999
IEEE
148views Hardware» more  ICCAD 1999»
14 years 2 months ago
SAT based ATPG using fast justification and propagation in the implication graph
In this paper we present new methods for fast justification and propagation in the implication graph (IG) which is the core data structure of our SAT based implication engine. As ...
Paul Tafertshofer, Andreas Ganz
ICDAR
2003
IEEE
14 years 3 months ago
A Constraint-based Approach to Table Structure Derivation
er presents an approach to deriving an abstract geometric model of a table from a physical representation. The technique developed uses a graph of constraints between cells which ...
Matthew Hurst
JCC
2002
127views more  JCC 2002»
13 years 9 months ago
Effective Born radii in the generalized Born approximation: The importance of being perfect
: Generalized Born (GB) models provide, for many applications, an accurate and computationally facile estimate of the electrostatic contribution to aqueous solvation. The GB models...
Alexey Onufriev, David A. Case, Donald Bashford