Luca. VanzellaVanzella, Luca, Classification of Data Structures for Thematic Data, Technical Report TR 88-14, Department of Computing Science, University of Alberta, June 1988.
In current in situ X-ray diffraction (XRD) techniques, data generation surpasses human analytical capabilities, potentially leading to the loss of insights. Automated techniques require human intervention, and lack the performance and adaptability requir
A particular type of data classification highly sought in a Customer MDM program is customer hierarchy. Customer hierarchy management entails managing customer data relationships to represent company organizational structures, for example. Another classification (in Product MDM, for instance), is product ta...
Convolutional Neural Networks (CNNs) have been found to perform well under such circumstances since they can learn representations from raw data. However, their effectiveness decreases when the number of available training samples is small, which is a common situation in medicine. In this work, we...
Section6.7lays out the details of the applications in which the benefits of s-reps statistics have been shown. In brief, diagnostic classifications of two brain structures in two diseases have been shown to be improved by s-reps over boundary point representations, high-quality segmentations by ...
This communication addresses real-time weapon classification by analysis of asynchronous acoustic data, collected from microphones on a sensor network. The weapon classification algorithm consists of two parts: (i) feature extraction from time-series data using symbolic dynamic filtering (SDF), and (ii...
Using a query read’s similarity to the elements of the screen, the methods predict the source of the read. Such an approach requires limited pre-processing, stores and works with only a subset of the input data, and is able to perform classification with a high degree of accuracy. ...
Data augmentation is a data preprocessing method applied to all three methods. The results of the experiments show that data augmentation generally is an effective way for all three algorithms to improve performance. Also, Transfer learning is a more useful classification method on a small dataset ...
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1.5.4Databases for structural classification of proteins Murzin et al. (1995)constructed theSCOPdatabase, which provides a detailed and comprehensive description of the structural and evolutionary relationships of the proteins of known structures. For each protein, the classification has...