ECG biometrics using a dissimilarity space representation

Electrocardiogram (ECG) biometrics are a relatively recent trend in biometric recognition, with at least 13 years of development in peer-reviewed literature. Most of the proposed biometric techniques perform classifi-cation on features extracted from either heartbeats or from ECG based transformed signals. The best representation is yet to be decided. This paper studies an alternative representation, a dissimilarity space, based on the pairwise dissimilarity between templates and subjects' signals. Additionally, this representation can make use of ECG signals sourced from multiple leads. Configurations of three leads will be tested and contrasted with single-lead experiments. Using the same k-NN classifier the results proved superior to those obtained through a similar algorithm which does not employ a dissimilarity representation. The best Authentication EER went as low as 1:53% for a database employing 503 subjects. However, the employment of extra leads did not prove itself advantageous.

Text classification using compression-based dissimilarity measures

Arguably, the most difficult task in text classification is to choose an appropriate set of features that allows machine learning algorithms to provide accurate classification. Most state-of-the-art techniques for this task involve careful feature engineering and a pre-processing stage, which may be too expensive in the emerging context of massive collections of electronic texts. In this paper, we propose efficient methods for text classification based on information-theoretic dissimilarity measures, which are used to define dissimilarity-based representations. These methods dispense with any feature design or engineering, by mapping texts into a feature space using universal dissimilarity measures; in this space, classical classifiers (e.g. nearest neighbor or support vector machines) can then be used. The reported experimental evaluation of the proposed methods, on sentiment polarity analysis and authorship attribution problems, reveals that it approximates, sometimes even outperforms previous state-of-the-art techniques, despite being much simpler, in the sense that they do not require any text pre-processing or feature engineering.

Similar understorey structure in spite of edaphic and floristic dissimilarity in Amazonian forests

Forest structure determines light availability for understorey plants. The structure of lowland Amazonian forests is known to vary over long edaphic gradients, but whether more subtle edaphic variation also affects forest structure has not beenresolved. In western Amazonia, the majority of non-flooded forests grow on soils derived either from relatively fertile sediments of the Pebas Formation or from poorer sediments of the Nauta Formation. The objective of this study was to compare structure and light availability in the understorey of forests growing on these two geological formations. We measured canopy openness and tree stem densities in three size classes in northeastern Peru in a total of 275 study points in old-growth terra firme forests representing the two geological formations. We also documented variation in floristic composition (ferns, lycophytes and the palm Iriartea deltoidea) and used Landsat TM satellite image information to model the forest structural and floristic features over a larger area. The floristic compositions of forests on the two formations were clearly different, and this could also be modelled with the satellite imagery. In contrast, the field observations of forest structure gave only a weak indication that forests on the Nauta Formation might be denser than those on the Pebas Formation. The modelling of forest structural features with satellite imagery did not support this result. Our results indicate that the structure of forest understorey varies much less than floristic composition does over the studied edaphic difference.

The Botanical magazine, or, Flower-garden displayed ... /by William Curtis.

v.1-2=no.1-71 (1787-1790) [Lacks:no.27]

The Botanical magazine, or, Flower-garden displayed ... /by William Curtis.

v.11-12=no.361-432 (1797-1798)

The Botanical magazine, or, Flower-garden displayed ... /by William Curtis.

v.13-14=no.433-504 (1799-1800)

The Botanical magazine, or, Flower-garden displayed ... /by William Curtis.

v.3-4:no.73-144 (1790-1791)

The Botanical magazine, or, Flower-garden displayed ... /by William Curtis.

v.5-6=no.145-216 (1792-1793)

The Botanical magazine, or, Flower-garden displayed ... /by William Curtis.

v.7-8=no.217-288 (1794)

The Botanical magazine, or, Flower-garden displayed ... /by William Curtis.

v.9-10=no.289-360 (1795-1796)

Curtis's botanical magazine.

Index v.64-70 (1837-1844)

Curtis's botanical magazine.

v.55=ser.2:v.2 (1828) [no.2791-2875]

Curtis's botanical magazine.

v.56=ser.2:v.3 (1829) [no.2876-2955]

Curtis's botanical magazine.

v.57=ser.2:v.4 (1830) [no.2956-3038]