Learn More
We propose a novel approach to similarity assessment for graphic symbols. Symbols are represented as 2D kernel densities and their similarity is measured by the Kullback-Leibler divergence. Symbol orientation is found by gradient-based angle searching or independent component analysis. Experimental results show the outstanding performance of this approach(More)
Tissue stromal cells interact with leukaemia cells and profoundly affect their viability and drug sensitivity. Here we show a biochemical mechanism by which bone marrow stromal cells modulate the redox status of chronic lymphocytic leukaemia (CLL) cells and promote cellular survival and drug resistance. Primary CLL cells from patients exhibit a limited(More)
In recent years, Support Vector Machine (SVM) has become a very dynamic and popular topic in the Neural Network community for its abilities to perform classification, estimation, and regression. One of the major tasks in the SVM algorithm is to locate the discriminant boundary in classification task. It is crucial to understand various approaches to this(More)
Manganese (Mn) is an essential trace element for plants. Recently, the genes responsible for uptake of Mn in plants were identified in Arabidopsis and rice. However, the mechanism of Mn distribution in plants has not been clarified. In the present study we identified a natural resistance-associated macrophage protein (NRAMP) family gene in rice, OsNRAMP3,(More)
Visual similarity evaluation plays an important role in intelligent graphics system. In this paper, we focus on the domain of symbolic image recognition and introduce the Directional Division Tree representation to extract and describe the content information of an image. The conducted experiment shows that similarity evaluation algorithm based on this(More)