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With the high-speed development of the network, the web platform has been wildly applied to various kinds of industries. The paper analyses MVC pattern framework, which can truly achieve a complete separation of the view, controller and model, implement the separation of business logic and presentation layer, and improve the development efficiency and software reusability. The research is designed...
Bag of words (BoW) model, which was originally used for document processing field, has been introduced to computer vision field recently and used in object recognition successfully. However, in face recognition, the order less collection of local patches in BoW model cannot provide strong distinctive information since the objects (face images) belong to the same category. A new framework for extracting...
Case retention is an important unit in developing a case-based reasoning (CBR) system. It not only directly relates to the difficulty of the case base maintenance, but also affects the reasoning efficiency and correctness of the CBR system. However, the case retention is still not attracted enough attention, and the researches on it is very little. In this paper, case retention strategy for the industrial...
The auxin response factors are key regulators for growth and development of plant. In this study, a total of 32 BrARF genes that distributed on the ten chromosomes were identified in rape genome. ARF gene family of Rape is expanded as compared to the ARF genes of rice (25) and arabidopsis (23). Sequence alignment and phylogenetic analysis showed that some BrARF proteins fall into related sister pairs,...
The Latent Dirichlet Allocation (LDA) is a model proposed recently which extracts latent topics from text data. The paper uses the LDA model in facial expression recognition but not document recognition to excavate the distribution relations between the Action Unit (AU) and expressions. Using the LDA to set up a model between AU and the facial expression of distribution relations, we can use the LDA...
Bayesian Networks (BN) are an effective method to recognize facial action units (AUs) combinations, which is a key issue of AUs recognition. Learning BN structures from data is NP-hard. Greedy search algorithm is a practical approach to learn BN from data, but it is liable to get stuck at a local maximum. In this paper, an improved greedy search algorithm is proposed in order to deal with the above-mentioned...
With the rapid development of technology of multimedia, the traditional information retrieval techniques based on keywords are not sufficient, content - based image retrieval (CBIR) has been an active research topic. A new content based image retrieval method using the feature analysis of edge extraction and median filtering is proposed. To the defect of median filter reducing the imagepsilas resolution...
Content based image retrieval is highly used in computer vision in order to solve image retrieval problems. The proposed method is based on the information provided by the histogram analysis of intensity/grayscale values of images. Some additional properties are also calculated and used that are based upon regional characteristics of various objects in the image. The need to retrieve the additional...
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