The first part is pattern analysis for feature extraction where in specific characteristics are obtained from the data with the hope that they will be different for different classes.
We analyze the different categories of structural classes in chemistry, presenting a list of patterns for features found in class definitions.
Also, they restrict no priori distribution patterns for features used.
DOI: http://dx.doi.org/10.7554/eLife.03043.016 Although temporal and spatial features were represented independently in premotor and parietal cortex (i.e., these regions showed specific activity patterns for one feature, independent of the respective other feature), spatially these representations overlapped to a certain degree, especially in caudal PMd.
This paper contributes to this ongoing investigation by developing an improved morphological pattern spectrum (IMPS) for feature extraction from TFR.
In this paper, we propose a new feature matching strategy to alleviate this problem by discriminating repetitive patterns from the other salient ones and also by developing a way of utilizing the patterns for robust feature matching.
The analysis provides for the first time a physical understanding and scaling laws for pattern feature size, shape, and growth times in terms of the interaction potential parameters, substrate temperature, film thickness and material properties.
By PCR ribotyping, we observed a characteristic banding pattern for isolates with features of the epidemic strain; 6 isolates with this banding pattern were confirmed as BI strains in the laboratory of D.G.
DOI: http://dx.doi.org/10.7554/eLife.03043.006 In contrast, a region that contains an independent representation of the order of finger presses in space should show consistent activity patterns for spatial features of sequences, independent of their temporal features.
This resulted into a decrease down to 16.1% of the death hazard ratio, or inversely, more than six-fold increase of the death hazard ratio for those patients not showing the above-mentioned pattern for these three features.
