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Analytic Features of Reproducing Groups for the Metaplectic Representation
      
Morphological Component Analysis (MCA) is a new method which takes advantage of the sparse representation of structured data in large overcomplete dictionaries to separate features in the data based on the diversity of their morphology.
      
It is shown that the formalism inherits many features from the theory of Galois fields.
      
The models obtained may be used as useful tools for predicting whether a molecule of pharmacological interest bears structural features likely to possess CETP inhibitory activity prior to synthesis.
      
The details of the synthetic sequence followed for the preparation of all these compounds having almost all the structural features required for a compound to act as a potent insulin sensitizing agent are reported.
      
Physicochemical and Pharmacophoric mapping based QSAR studies have been performed on a set of imidazopyridine thiazolidine-2,4 diones to identify essential structural and electronic features for PPARγ agonist activity.
      
2-Phenethylbenzimidazole, 2-phenethylbenzoxazole and 2-phenethylbenzothiazole derivatives were synthesized to explore the structural features of the serotonin 5-HT2B receptor antagonists.
      
These features were exploited to improve analytical performances in simultaneous determination of the minor ingredient of pseudoephedrine hydrochloride and the major ingredient of ibuprofen in a pharmaceutical preparation.
      
These structured water layers had ice-like features.
      
They are tested and compared with the traditional similarity-based verification approach on several databases with different features and classifiers.
      
Also, NQGA is applied in selecting the best feature subset from a large number of features in radar emitter signal recognition.
      
The features of low earth orbit/medium earth orbit (LEO/MEO) satellite networks routing algorithm based on inter-satellite link are analyzed and the similarities between satellite networks and mobile Ad Hoc network (MANET) are pointed out.
      
At the same time, the model of the algorithm is simulated and features are analyzed.
      
The features of the model include one word in context of OAS, the current OAS and word probability relation of two kinds of segmentation results.
      
An attempt is thus made in this paper to present the results on the concepts of information and the fundamental features of information transforms.
      
Document image retrieval based on multi-density features
      
Then the aspect ratio and multi-density features were extracted from the text area to select the best candidates from the document image database.
      
And it can also keep textures and large-scale fine features that are not characterized by edges.
      
This paper proposes a novel airport detection method, which integrates the texture features and shape features of the airport.
      
The steepest decent method features fast convergence at the initial iteration and small computation complexity.
      
 

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