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We investigate the scalable image classification problem with a large number of categories. Hierarchical visual data structures are helpful for improving the efficiency and performance of large-scale multi-class classification. We propose a novel image classification method based on learning hierarchical inter-class structures. Specifically, we first design a fast algorithm to compute the similarity...
Oil is essential to our life mainly in transportation, and thus the productivity of oil well is very important. Classification of oil wells can make it easier to manage wells to ensure good oil productivity. Machine learning is an emerging technology of analyzing data in which cluster is a good way to do classification. The paper will apply two kinds of cluster method to the data from Dagang oil well...
In this study, an image segmentation algorithm for processing Next-Generation Sequencing (NGS) fluorescence data is proposed. In NGS applications, fluorescent spots are randomly distributed, the number of spots is large, and the sizes of these spots are small. All the characteristics make the conventional segmentation algorithm not as efficient. To speed up the segmentation process, we propose a hardware-compatible...
With large companies and corporations becoming increasingly responsible for data collection, in recent years, a growing number of scientists have proposed using a variety of algorithms and different theories to solve the database problem. Even though existing solutions are effective in many cases many, problems are left to solve during the integration of database. The entity resolution (ER) is a crucial...
This paper describes an effective framework to perform image segmentation and find regions of interest (ROI) in a user input object in an interactive way. Similar image objects are then retrieved from a repository. The repository stores off-line trained feature data of image objects, which was obtained by applying feature extraction and dimension reduction analysis to the ROI. The advantage of our...
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