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Approximate Nearest Neighbor (ANN) search in high dimensional space has become a fundamental paradigm in many applications. Recently, Locality Sensitive Hashing (LSH) and its variants are acknowledged as the most promising solutions to ANN search. However, state-of-the-art LSH approaches suffer from a drawback: accesses to candidate objects require a large(More)
Radix Scutellariae from different producing areas were processed by wet digestion, and a total of 28 metal trace elements, which may be essential or harmful to human being, were determined using inductively coupled plasma-mass spectrometry (ICP-MS) firstly. The results indicate that the kind of metal elements in Radix Scutellariae from different area were(More)
Nearest neighbor (NN) search in high-dimensional space plays a fundamental role in large-scale image retrieval. It seeks efficient indexing and search techniques, both of which are simultaneously essential for similarity search and semantic analysis. However, in recent years, there has been a rare breakthrough. Achievement of current techniques for NN(More)
Arising from considering some multivalued von Neumann model, this paper aims to study three set-valued inequality systems and try to find their solvability criteria. Before starting with this subject, we need to review some necessary backgrounds as follows. We denote by R R, ‖ ·‖ the k-dimensional Euclidean space, Rk∗ R its dual, and 〈·, ·〉 the duality(More)
and Applied Analysis 3 by Fujimoto 3 and Liu and Chen 4, 5 with the functional analysis approach. As for b , in case X is convex compact, and S is convex compact-valued with and without the upper hemicontinuous condition, it has also been studied by Liu and Zhang 6, 7 with the nonlinear analysis methods attributed to 8–10 , in particular, using the(More)
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