The Research on Rejoining of the Oracle Bone Rubbings Based on Curve Matching

The rejoining of oracle bone rubbings is a fundamental topic for oracle research. However, it is a tough task to reassemble severely broken oracle bone rubbings because of detail loss in manual labeling, the great time consumption of rejoining, and the low accuracy of results. To overcome the challenges, we introduce a novel CFDA&CAP algorithm that consists of the Curve Fitting Degree Analysis (CFDA) algorithm and the Correlation Analysis of Pearson (CAP) algorithm. First, the orthogonalization system is constructed to extract local features based on the curve features analysis. Second, the global feature descriptor is depicted by using coordinate points sequences. Third, we screen candidate curves based on the features as well as the CFDA algorithm, so the search range of the candidates is narrowed down. Finally, image recommendation libraries for target curves are generated by adopting the CAP algorithm, and the rank for each target matching curve generates simultaneously for result evaluation. With experiments, the proposed method shows a good effect in rejoining oracle bone rubbings automatically: (1) it improves the average accuracy rate of curve matching up to 84%, and (2) for a low-resource task, the accuracy of our method has 25% higher accuracy than that of other methods.

Picture semantic similarity search based on bipartite network of picture-tag type

Searching similar pictures for a given picture is an important task in numerous applications, including image recommendation system, image classification and image retrieval. Previous studies mainly focused on the similarities of content, which measures similarities based on visual features, such as color and shape, and few of them pay enough attention to semantics. In this paper, we propose a link-based semantic similarity search method, namely PictureSim, for effectively searching similar pictures by building a picture-tag network. The picture-tag network is built by “description” relationships between pictures and tags, in which tags and pictures are treated as nodes, and relationships between pictures and tags are regarded as edges. Then we design a TF-IDF-based model to removes the noisy links, so the traverses of these links can be reduced. We observe that “similar pictures contain similar tags, and similar tags describe similar pictures”, which is consistent with the intuition of the SimRank. Consequently, we utilize the SimRank algorithm to compute the similarity scores between pictures. Compared with content-based methods, PictureSim could effectively search similar pictures semantically. Extensive experiments on real datasets to demonstrate the effectiveness and efficiency of the PictureSim.

Revisiting Young Customers’ Bank Selection and Loyalty Decisions in Ghana

This study examines first-year students’ (who mostly are opening/operating bank accounts for the first time on their own) bank selection and loyalty decisions. An extensive literature review was done to develop study instruments. An exploratory analysis of 320 usable questionnaires was done. The study found in order of importance that: bank service/convenience, service quality/bank image, staff attitude/recommendations, core service/communication and customer service were factors influencing their bank selection decisions in Ghana. Also, friendly operations/regulations, relationship management, service quality/ financial benefits, client satisfaction and bank image were identified in order of importance to be responsible for their loyalty to banks in Ghana. This study reiterates to bank management that factors including quality of service, bank image, recommendation (word of mouth), employee competence, bank knowledge, customer satisfaction, price of transactions, relationship marketing and bank regulation should be at the core of their strategy development and implementation. The study is original with insightful updates and new perspectives on young adults’ bank selection and loyalty dimensions. This study is the first attempt to systematically combine bank selection and loyalty factors in a single comprehensive survey in Ghana. (JEL G21) Keywords: bank, customers, Ghana, loyalty, selection