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Network pharmacology has become the new approach for drug mechanism research and novel drug design. Drug target prediction based on computational approach became one of the primary approaches. However, due to the diversity and complexity of herbal chemical structures, the performance of herb target prediction based on chemical structure similarity is limited by the quality and the data availability...
Recently, hashing based Approximate Nearest Neighbor (ANN) techniques have been attracting lots of attention in computer vision. The data-dependent hashing methods, e.g., Spectral Hashing, expects better performance than the data-blind counterparts, e.g., Locality Sensitive Hashing (LSH). However, most data-dependent hashing methods only employ a single hash table. When higher recall is desired, they...
TPC-DS is a new generation industry decision support system benchmark. In this paper, we propose a configurable architecture and discuss key technologies for TPC-DS testing tool development.By testing practices in different DBMSs and the same DBMS with various configurations,authors prove the availability of our implementation strategies.
This paper presents a texture analysis method on digital chest radiograph to distinguish pneumoconiosis chest from normal chest. First, two lung fields are segmented from a digital chest X-ray image by the active shape model (ASM) method. Second, the chest image is preprocessed by multi-scale difference filter bank to enhance some detailed features of pneumoconiosis. Then the histogram features are...
Decreasing disk costs have made it practical to retain long- lived snapshots, enabling new applications that analyze past states and infer about future states. Current approaches offer no satisfactory way to organize long-lived snapshots because they disrupt the database in either short or long run. Split snapshots are a recent approach that overcomes some of the limitations. An unsolved problem has...
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