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—Content-based image retrieval (CBIR) has been an active research topic in the last decade. Using just one kind of feature information may cause inaccuracy compared with using more than two kinds of feature information. Aiming at shape-based image retrieval, in this paper we proposed an image retrieval method using the global and local shape features.(More)
In this paper, an effective algorithm is presented to discover positive and negative association rules. Especially, it analyzes the definition of the positive and negative association rules, computational methods of support and confidence level in affairs. It also talks about the conflicted rules problems which are in the positive and negative association(More)
Loss of seed-coat impermeability was essential in the domestication of many leguminous crops to promote the production of their highly nutritious seeds. Here we show that seed-coat impermeability in wild soybean is controlled by a single gene, GmHs1-1, which encodes a calcineurin-like metallophosphoesterase transmembrane protein. GmHs1-1 is primarily(More)
Land use change is one of the most important scientific research themes in the field of global environmental change. Due to the presence of uncertainty and randomness in the real world, it is difficult to simulate land use change exactly. To address the spatial uncertainty and temporal randomness in land use change, we propose a model for simulating land(More)
The hyperspectral RS is a new technology for fine spectral feature, but the spectral feature of same class object are still not completely consistent, because the ground surface environment is complex. In this paper, we analyze the spectral characteristics and its fractal characteristics, and construct a spectrum curve feature matrix, which consist of(More)