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The performance of a biometric verification system may degrade substantially if the input samples vary significantly compared to existing samples in the gallery. Adaptive biometric systems that can improve with use, have recently gained popularity together with using semi-supervised learning methods for accommodating the continuous change in the subject's data. In this study we investigate the value...
Optimizing the virtual reality model is a necessity to cope with the nature of the World Wide Web. Virtual reality scenes should load within an acceptable time for the user's experience and the sense of being immersed in the virtual environment is not to be affected. In this study, we propose to optimize web-based virtual reality models by removing redundant objects within the scenes, while keeping...
The performance of a biome??trie verification system is affected by how good each user is represented in the user gallery. Due to the infinite number of pose variations, illumination changes and other intra-class variations in the biome??trie samples, it is impossible to collect all variations in a totally supervised manner. Adaptive biome??trie systems that use semi-supervised learning techniques...
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