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Food photos are widely used in food logs for diet monitoring and in social networks to share social and gastronomic experiences. A large number of these images are taken in restaurants. Dish recognition in general is very challenging, due to different cuisines, cooking styles, and the intrinsic difficulty of modeling food from its visual appearance. However, contextual knowledge can be crucial to...
Perishable goods are those whose value decay rapidly over time. To reach the maximum profit, vendors should sell them as soon as possible ever since they are available on market. Advance selling strategy refers to sell a product before it is ready for sale and this helps sellers to observe the market response and adjust its operational plans. With the rapid development of E-commerce, it becomes much...
In the actual competitive software industry, software development organizations need a better and formal estimation approaches in order to increase the success rate of software projects. However, currently the estimation approach typically employed in industry is the expert judgment ('experience-based'). Using measures and estimations that continue to be based on researchers' intuition does not contribute...
Non-rigid point set registration is a fundamental problem for many computer vision technologies. In this paper, we proposed a new non-rigid point set registration method based on coherent spatial mapping (CSM) and local geometrical constraint. Our central idea is to express each point as a weighted sum of several nearest neighbors and the same relation holds after the transformation. The registration...
Change data capture (CDC) is an approach to data integration that is used to determine and track the data that has changed so that action can be taken using the change data. However, the state of art of change data capture (CDC) in the context of document-oriented NoSQL databases is not mature. Therefore, it is urgent to require a NoSQL CDC solution. Although some manufacturers of NoSQL databases...
The Internet has created new opportunities for peer-to-peer (P2P) social lending platforms which have the potential to transform the way microfinance institutions (MFIs) raise and allocate funds used for poverty reduction. Depending upon where decision making rights are allocated, there is the potential for identification bias whereby lenders may be motivated to give to specific projects with which...
Hybrid cloud deployment can be an attractive option for companies wanting to deploy software services on scalable public clouds, while still assuming local control over sensitive data resources. A hybrid deployment, despite providing better control, is difficult to design since code must be partitioned and distributed efficiently between public and private premises. This paper describes our research...
In model-based development of embedded software product lines, artefacts, i. e. the requirements document, implementation model, and tests, often become extremely complex w. r. t. size and dependencies. Moreover, the interrelationships among the artefacts are not obvious and information about development, design decisions as well as variability-related aspects are missing. Hence, engineers have to...
We propose a new type of saliency - context-aware saliency - which aims at detecting the image regions that represent the scene. This definition differs from previous definitions whose goal is to either identify fixation points or detect the dominant object. In accordance with our saliency definition, we present a detection algorithm which is based on four principles observed in the psychological...
Query term suggestion that interactively expands the queries is an indispensable technique to help users formulate high-quality queries and has attracted much attention in the community of web search. Existing methods usually suggest terms based on statistics in documents as well as query logs and external dictionaries, and they neglect the fact that the topic information is very crucial because it...
Mining actor correlations from TV series enables semantic level video understanding and facilitates users to conduct correlation-based query. In this paper, we introduce a graph-based actor correlations mining framework, which serves as the first attempt for effective actor association presentation and concurrence search. We leverage face detection and tracking to locate actors with 2D-PCA detector...
A lot of content for tele-lecturing portals was produced in the last decade. But metadata to filter the content was not generated adequately. It therefore takes a long time for users to filter through all the videos available until they find the learning content they are looking for. That is why it is a new challenge to find solutions how to filter the large amount of data with a small base of metadata...
Personal Identifiable Information (PII) describes a relationship between information and a uniquely identifiable person. Sensitive PII refers to a category of PII that contains significant information about individuals. In general, sources of sensitivity of PII can be tracked by partitioning the basic unit of linguistic information into three parts: identity, verb, and the reminder of the linguistic...
Network evolution is a hot research topic especially when social networking has become an important Web application. The access histories of Web users which contain the users traces' on a social network have not been considered useful data. However, they may reveal more about the network's connectedness if the history's time-sensitive characteristic is analyzed and studied. In this paper, we model...
Equal format databases let relational database servers manage complex data in a standardized way, with the flexibility previously reserved for XML systems. Equal format containers are also scalable and improve the ability to merge and integrate databases.
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