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Human actions recognition has been one of the most popular subject areas in computer vision. Recently, the usage of depth cameras which are capable of generating three dimensional data enabled more complex human actions to be recognized. In this study, the problem of tennis actions recognition using a depth camera is tackled and a three dimensional tennis actions dataset has been created. To be able...
The automatic recognition of emotional states are quite researched problem. In this work, emotion recognition problem was investigated and the system has been developed that can recognize expressions of happy, sad, surprised, angry, afraid, disgusted and neutral from an image. Previously, a feature vector was extracted for the detected face and the classification was made using the distance information...
In this study, we propose a weakly-supervised multiple instance learning (MIL) method to improve the results of text-based image search engines. In this approach, ranked image list of search engine for a keyword query is treated as weak-positive input data, and with additional negative input data, multiple instance learning bags are constructed. Then, Multiple Instance problem is converted to a standard...
Many researches and historians from all around the world are interested in historical Ottoman archives. However, translation of these documents requires competent historians which is not a feasible method in terms of time and cost. Thus, automatic translation of these documents are required. In this paper, preprocessing steps of accessing the Ottoman manuscripts with a word based search engine is...
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