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A hierarchical learning algorithm is developed for supporting large-scale plant species identification. A visual tree is first constructed for organizing large numbers of plant species hierarchically in a coarse-to-fine fashion. For the fine-grained plant species at the sibling leaf nodes under the same parent node, they share significant common visual properties but still contain subtle visual differences,...
Geospatial datasets in the Linking Open Data (LOD) Cloud are rather of static nature and mainly consist of information such as a name, geo coordinates, an address, or opening hours. There is no linked dataset providing dynamic information about the “popularity” of certain places or the “Visiting frequency” of users in specific contextual situations. This type of information within the LOD Cloud, however,...
We are seeing a sea change down the pike in terms of financial information aggregation and consumption; this could potentially be a game changer in financial services space with focus on ability to commoditize data. Financial Services Industry deals with a tremendous amount of data that varies in its structure, volume and purpose. The data is generated in the ecosystem (its customers, its own accounts,...
As the literature of international business has been developed by contributions of researches from different areas, it has become a more complex system and researches from different areas have constructed a complex network for the research domain of international business. Data mining has become an important technology in researching networks of business area, and this research applies the technology...
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