Jianbing Zhang

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Latent Dirichlet Allocation (LDA) mining thematic structure of documents plays an important role in nature language processing and machine learning areas. However, the probability distribution from LDA only describes the statistical relationship of occurrences in the corpus and usually in practice, probability is not the best choice for feature(More)
PURPOSE To evaluate diagnostic performances of CESM for breast diseases with comparison to breast MRI in China. MATERIALS AND METHODS Sixty-eight patients with 77 breast lesions underwent MR and CESM. Two radiologists interpreted either MRI or CESM images, separately and independently. BI-RADS 1-3 and BI-RADS 4-5 were classified into the suspicious benign(More)
In many learning tasks with structural properties, structural sparsity methods help induce sparse models, usually leading to better interpretability and higher generalization performance. One popular approach is to use group sparsity regularization that enforces sparsity on the clustered groups of features, while another popular approach is to adopt graph(More)
: The paper using the inverse kinematics theory of the parallel mechanism , studied the movable needs of the transplanting robot,deduced the inverse kinematics formula of transplanting robot.Considered the demand of the " fetch and plant " operations,made an important research on the two trajectory planning methods of the moving platform: quintic and septic(More)