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» Modeling Problem Transformations based on Data Complexity
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AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
15 years 4 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 8 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 6 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...
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ICIP
2009
IEEE
16 years 3 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»
15 years 2 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...