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» Modeling Problem Transformations based on Data Complexity
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AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
14 years 11 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...
ICCS
2007
Springer
15 years 3 months ago
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
ICASSP
2011
IEEE
14 years 1 months ago
Acoustic model training for non-audible murmur recognition using transformed normal speech data
In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM data. NAM is extremely ...
Denis Babani, Tomoki Toda, Hiroshi Saruwatari, Kiy...
ICIP
2009
IEEE
15 years 10 months ago
3d Medical Image Compression Based On Multiplierless Low-complexity Rklt And Shape-adaptive Wavelet Transform
A multiplier-less low complexity reversible integer Karhunen-Lo?ve transform (Low-RKLT) is proposed based on multi-lifting. Conventional methods based on KLT suffer from high comp...
ENTCS
2006
183views more  ENTCS 2006»
14 years 9 months ago
Metamodel-Based Model Transformation with Aspect-Oriented Constraints
Model transformation means converting an input model available at the beginning of the transformation process to an output model. A widely used approach to model transformation us...
László Lengyel, Tihamer Levendovszky...