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Bag-of-Visual-Words representation has recently become popular for scene classification. However, learning the visual words in an unsupervised manner suffers from the problem when faced these patches with similar appearances corresponding to distinct semantic concepts. This paper proposes a novel supervised learning framework, which aims at taking full(More)
Acuthrombin-B, a thrombin-like enzyme from Agkistrodon acutus venom, has been isolated and purified to homogeneity by ion-exchange chromatography on DEAE-Sepharose, gel filtration on Sephacryl S-100 and fast performance liquid chromatography on DEAE-8HR. The protease is an acid protein (pI 6.0) consisting of two non-identical polypeptide chains (14.4 and 16(More)
This paper discusses the issues involved in the design of a complete information retrieval system for DataSpace based on user relevance probabilistic schemes. First, Information Hidden Model (IHM) is constructed taking into account the users’ perception of similarity between documents. The system accumulates feedback from the users and employs it to(More)
This paper proposes a probabilistic Latent Emotion Analysis (pLEA) model, which is an extension of probabilistic Latent Semantic Analysis (pLSA) model, to discover latent emotion topics considering theoretical and empirical concepts from psychology and art theory. The traditional pLSA models performed poorly since the statistical model are hardly narrowing(More)
BACKGROUND The clinical and prognostic implications of nodal skip metastasis (NSM) remain unclear in patients with esophageal squamous cell carcinoma (ESCC). METHODS Patients with pathologically confirmed node metastasis who underwent three-field lymphadenectomy from January 1999 to December 2008 were retrospectively enrolled. The node station is(More)
This paper presents a novel template matching algorithm that copes with the occlusion on the target image. Most of the previous methods are sensitive to the occlusion because it induces some patches with similar semantic concepts but distinct appearances. Thus the template matching algorithm hardly accomplishes the task based on the appearance similarity(More)