Adaptive multiresolution search: How to beat brute force?

Thuillard, Marc

doi:10.1016/j.ijar.2003.08.003

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…Let us mention that the algorithm can be refined in many ways, using a more sophisticated clustering algorithm and a better search algorithm such as a multiresolution search algorithm (Thuillard 2001, 2004) or a simulated annealing. The algorithm can also be improved by optimizing the order within the clusters with the same hill climber.…”

Section: Algorithm For Contradiction Minimizationmentioning

confidence: 99%

Minimizing Contradictions on Circular Order of Phylogenic Trees

Thuillard¹

2007

Evol Bioinform Online

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Distance-based approaches to phylogeny use estimations of the evolutionary distance between sequences to reconstruct an evolution tree. If the evolution can be represented by an X-tree, the different sequences can be ordered so that the distance matrix , n i j Y , representing the distance from a leaf n to the path (i, j ), is perfectly ordered meaning that ,After ordering of the sequences, the distance matrix Y i j n , permits to visualize phylogenetic relationships between taxa and to localize deviations from perfect order. The effect of perturbations resulting from lateral gene transfer or crossover can be modeled probabilistically. The order is shown to be quite robust against many perturbations. We have developed algorithms to minimize the level of contradiction in the order of the sequences. These algorithms are tested on the SSU rRNA data for Archaea. The degree of contradiction after optimization is for most taxa quite low. Regions in the taxa space with deviations from perfect order were identifi ed.

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Section: Algorithm For Contradiction Minimizationmentioning

confidence: 99%

Minimizing Contradictions on Circular Order of Phylogenic Trees

Thuillard¹

2007

Evol Bioinform Online

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“…3). The first wavelet applications in sensors were developed for commercial fire detectors [7], [8]. A clear trend is the gradual establishment of hybrid techniques combining multiresolution analysis to other signal processing methods, for instance fuzzy logic, independent components (ICA) [9] or principal components analysis (PCA) [10].…”

Section: Intelligent Analyzersmentioning

confidence: 99%

Nonlinear scaling of signals for intelligent analyzers

Juuso

IEEE International Workshop on Intelligent Signal Processing, 2005.

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Operating conditions are often changing so strongly that the changes in nonlinearities must be taken into account. A nonlinear mapping has been developed to extract meanings of variables from measurement signals. The scaling function scale the real values of variables to the range of [-2, +2] which combines normal operation [-1, +1] with handling of warnings and alarms. The nonlinear scaling provides a practical basis for modeling nonlinear multivariable systems with linear methodologies. The approach improves understanding of the meaning of measurement values. The generalized approach is based on a more detailed analysis of the measurement distributions. This can be extended to various applications in digital signal processing.

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New Direction of Applied Wavelet Transform in Multilingual Web Information Retrieval

Al-Dubaee¹,

Ahmad²

2008

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery

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Adaptive multiresolution search: How to beat brute force?

Cited by 5 publications

References 9 publications

Minimizing Contradictions on Circular Order of Phylogenic Trees

Minimizing Contradictions on Circular Order of Phylogenic Trees

Nonlinear scaling of signals for intelligent analyzers

New Direction of Applied Wavelet Transform in Multilingual Web Information Retrieval

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