Xiaofeng Wei

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In this paper, K-ary almost instantaneous fixed-to-variable-length (AIFV) codes are proposed for K ≥ 3, and it is shown that the K-ary AIFV codes using K - 1 code trees can attain better compression than K-ary Huffman codes for stationary memoryless sources. Furthermore, it is also shown that binary relaxed AIFV codes with two code trees can beat(More)
In this paper, we presents a new blog recommender based on the hyper graph modeling clustering algorithm. The algorithm of this system is called multilevel clustering segmentation algorithm based on the hyper graph model. Under the hyper graph model, each blog will be abstracted as a vertex of a hyper graph, hyper edges will be built among the blogs which(More)
The genus Flaveria has been extensively used as a model to study the evolution of C4 photosynthesis as it contains C3 and C4 species as well as a number of species that exhibit intermediate types of photosynthesis. The current phylogenetic tree of the genus Flaveria contains 21 of the 23 known Flaveria species and has been previously constructed using a(More)
A healthcare monitoring system on smart phone is implemented. This paper describes the proposed solution's realization. The system consists of a pulse oximeter, a compact transmission board with a microprocessor and an Android smart phone. Current commercially available Pulse Oximeter is used to detect users' heart beat rate (HR) and blood oxygen saturation(More)
PREMISE OF THE STUDY: Understanding fern (monilophyte) phylogeny and its evolutionary timescale is critical for broad investigations of the evolution of land plants, and for providing the point of comparison necessary for studying the evolution of the fern sister group, seed plants. Molecular phylogenetic investigations have revolutionized our understanding(More)
INTRODUCTION The relationship between silent cerebral infarction (SCI) and the integrity of cognitive function is unknown. We intended to investigate whether cognitive impairment is associated with gray matter volume (GMV) in the SCI patients. METHODS Sixty-two patients with SCI and 62 age- and gender-matched healthy controls (HC) were evaluated with P300(More)
In this paper a new framework for medical image segmentation is presented based on the hypergraph decomposition theory. Each frame of the clinical image atlas is first over-segmented into a series of patches which assigned some clustering attribute values. The patches that satisfy some conditions are chosen to be hypergraph vertices, and those clusters of(More)
In this paper, we use hypergraph model to predict the stock trends. Sometimes, it is hard to know what a certain stock will do tomorrow. But here we make each stock as a vertex of a hypergraph and the relations, going up or down of stocks, are abstracted as hyperedges. If some stocks have the same actions, going up or down together, during k days, we can(More)
In this paper, a new model for reputation collusion detection is established based on hyper graph theory. Users of a e-commerce system may have some kind of relationship according to the corresponding application. Such kind of connected users can be viewed as vertices jointed by hyper-edges, and thus formed a hyper graph. Colluders are those clusters in the(More)