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Facial expression recognition (FER) plays a significant role in human-computer interaction. In this paper, adopting a dictionary learning feature space (DLFS) via sparse representation classification (SRC), we propose a method for FER. First, we obtain a difference dictionary (DD) from the...
The interrelated fields of computational creativity and design computing, sometimes also referred to as design science, have been gaining momentum over the past two or three decades. Many frequent international conference series, as well as more sporadic stand-alone academic events, have emerged...
Krill herd (KH) is a novel swarm-based metaheuristic optimization algorithm inspired by the krill herding behavior. The objective function in the KH optimization process is based on the least distance between the food location and position of a krill. The KH method has been proven to outperform...
The time complexity of traditional support vector machine (SVM) is
and l is the the training sample size, and it can not solve the large scale problems. Granular support vector machine (GSVM) is a novel machine learning model based on granular computing and...
The demand for translations is increasing at a rate far beyond the capacity of professional translators. It is too difficult, time consuming and expensive to translate everything from scratch in each language. Machine translation offers a solution, as it provides translation automatically. Until...
Multilabel classification has become increasingly important for various use cases. Amongst the existing multilabel classification methods, problem transformation approaches, such as Binary Relevance, Pruned Problem Transformation, and Classifier Chains, are some of the most popular, since they...
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