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We present a novel approach for improving the shape statistics of medical image objects by generating correspondence of skeletal points. Each object’s interior is modeled by an s-rep, i.e., by a sampled, folded, two-sided skeletal sheet with spoke vectors proceeding from the skeletal sheet to the boundary. The skeleton is divided into three parts: the up side, the down side, and the fold curve. The...
This paper examines the structure characteristic and the measurement of knowledge work. This approach aims at measuring the knowledge works quantitatively and optimizing its productivity. Current knowledge on the issue is summarized based on the existing literature on the characteristic identification and measurement of knowledge work. Identification and definition for the concept of knowledge work...
In Chinese text classification field, the content and size of feature space have decisive impact on accuracy and efficiency. Those two kinds feature information of incremental unlabeled training samples are ignored during current incremental learning research. For large scale of high dimensional Chinese texts, this paper presents a flexible, effective and universal feature selection strategy. In this...
Privacy preserving data mining has become an important research problem. The chief research is how to mine the potential knowledge and not to reveal the sensitive data. In reality, large amounts of data are stored in distributed sites, so the DPPDM (Distributed Privacy Preserving Data Mining) is very important. This paper gave a survey on the DPPDM. Based on different underlying technologies, there...
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