Facial Expression Recognition System (FER) is a crucial task for applications like computer vision. It is very significant for the machine to observe and recognize human emotional changes. Recognizing facial expressio...
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The FlexRay protocol [4] is likely to be the de facto standard for automotive communication systems. Hence, there is a need to provide hard performance guarantees on properties like worst case response times of messag...
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Infrared detector devices have demonstrated an ability for obstacle detection for mobile robot applications. An infrared detector system (IDS) for quickly obtaining multiple infrared detector readings and avoiding var...
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Clustering is a fundamental technique in data mining to identify essential group structures in a given data matrix. Traditional clustering methods are one-way clustering, which has however limitations for high-dimensi...
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Boolean circuits offer a natural, structured, and compact representation of Boolean functions for many application domains. In this paper a tableau method for solving satisfiability problems for Boolean circuits is de...
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Sentiment Analysis has an increasing implication in solving Human-Machine collaboration issue. It's a tough task to be able to know how an individual feels but it seems even worse to recognize these sentiments usi...
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With an increasing popularity of social-media, people post updates that aid other users in finding answers to their questions. Most of the user-generated data on social-media are in code-mixed or multi-script form, wh...
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With an increasing popularity of social-media, people post updates that aid other users in finding answers to their questions. Most of the user-generated data on social-media are in code-mixed or multi-script form, where the words are represented phonetically in a non-native script. We address the problem of Question-Classfication on social-media data. We propose an ensemble classifier based approach towards question classification when the questions are written in mixed-script, specifically, the Roman script for the Bengali language. We separately train Random Forests, One-Vs-Rest and k-NN classifiers and then build an ensemble classifier that combines the best from the three worlds. We achieve an accuracy of 82% approximately, suggesting that the method works well in the task.
There is a rise in the use of visual cues such as augmented reality and virtual reality to teach programming concepts and algorithms to novice programmers. These visualizations increase motivation among novice program...
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According to the concept of dividing the strategy definition and the strategy implementation, the authorization model of Security Mechanism for Network Virtual Robot is put forward in this paper. The major data struct...
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Efficient deployment of sensors is one of important issues in wireless sensor networks. Several self-deployment schemes based on Voronoi diagram have been proposed. These schemes distribute sensors uniformly over the ...
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