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Given a complex task requiring a specific set of skills, it is useful to form a team of experts who work in a collaborative manner against time and many different costs. Team formation in the setting of social networks is a fundamental problem in many database or web applications. For example, we need to find a suitable team to answer community-based questions and collaborative software development...
Developers use many software applications to process large amounts of diverse information in their daily work. The information is usually meaningful beyond the context of an application that manages it. However, as different applications function independently, developers have to manually track, correlate and re-find cross-cutting information across separate applications. We refer to this difficulty...
Developers' daily work produces, transforms, and communicates cross-cutting information across applications, including IDEs, emails, Q&A sites, Twitter, and many others. However, these applications function independently of one another. Even though each application has their own effective information management mechanisms, cross-cutting information across separate applications creates a problem...
Traditional financial trading systems were developed in database-based standalone model years ago. Given that there exist some evident drawbacks like high latency and low availability in such architecture, it is imperative to design a new model which can meet the requirements of time-sensitive financial transactions. Therefore, in this paper we design and implement a state-replication based matching...
Software internationalization and localization are important steps in distributing and deploying software to different regions of the world. Internationalization refers to the process of reengineering a system such that it could support various languages and regions without further modification. Localization refers to the process of adapting an internationalized software for a specific language or...
We present the combination of an illumination invariant approach to face detection with skin color detection and the false positive suppression used for improving speed and accuracy of the system. First, the non-skin color pixels of the input image are removed based on the mixed skin color model in the YCbCr and RGB chrominance spaces, from which we extract candidate human face regions. Then, face...
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