Yafeng Zheng

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—Object-based visual attention has received an increasing interest in recent years. Perceptual object is the basic attention unit of object-based visual attention. The definition and extraction of perceptual objects is one of the key technologies in object-based visual attention computation model. A novel perceptual object definition and extraction method(More)
—The Non-negative matrix factorization (NMF) can be formulated as a minimization problem with bound constraints. NMF is capable to produce a region-or part-based representations of the wood images. We present an extension to the NMF and discuss the development as well as the use of damped Newton optimization approach for update matrices W and H called(More)
Nelumbo nucifera Gaertn. has a relatively wide geographical distribution and biological diversity; various lotus parts have excellent food and medicinal values. Lotus seeds, which are currently the oldest known plant seeds, contain many functional ingredients. They can be eaten raw or cooked, and are often added to foods as ingredients or supplements. Many(More)
Lotus is an edible and medicinal plant, and the extracts from its different parts exhibit various bioactivities. In the present study, the hot water-soluble polysaccharides from lotus seeds (LSPS) were evaluated for their cancer cell cytotoxicity, immunomodulatory and antitumor activities. LSPS showed significant inhibitory effects on the mouse gastric(More)
Purple sweet potato starch is a potential resource for resistant starch production. The effects of heat-moisture treatment (HMT) and enzyme debranching combined heat-moisture treatment (EHMT) on the morphological, crystallinity and thermal properties of PSP starches were investigated. The results indicated that, after HMT or EHMT treatments, native starch(More)
Online learning communities provide open workspaces allowing learners to share information, exchange ideas, address problems and discuss on specific themes. But with the continuously increasing artifacts in online communities, learners feel it difficult to quickly and easily gain an insight into a certain theme. To facilitate and support learners have a(More)
— Non-negative matrix factorization (NMF) is an unsupervised method whose aim is to find an approximate factorization V n*m =W n*r *H r*m into non-negative matrices W n*r and H r*m. This paper presents an extension to NMF and discusses the development and the use of damped Newton based the non-negative matrix factorization called DNNMF with good convergence(More)
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