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Nowadays, P300-speller has become the most popular Brain-computer interface (BCI) which can provide a new communication path between patients suffered amyotrophic lateral sclerosis (ALS) and the outside world. Many efforts have been done to improve the speed and accuracy of the P300-speller. Recently, some researchers improve the performance of the P300-speller through replacing the flashing rows...
A new tensor dimensionality reduction algorithm, Orthogonal Tensor Marginal Fisher Analysis (OTMFA), is proposed in this paper, which finds a set of orthonormal transformation matrices based on Tensor Marginal Fisher Analysis (TMFA). The obtained orthonormal transformation matrices do not distort the metric of the original tensor space such that the manifold structure of the input tensors can be better...
In this paper we propose the Tensor Rank one Discriminant Locally Linear Embedding algorithm (TR1DLLE), which accept tensors as input for classification. TR1DLLE integrates the tensor rank one Analysis (TRIA) and a recently proposed graph embedding algorithm Discriminant Locally Linear Embedding (DLLE). The merits of TR1DLLE include: (1) representing data in their native structure without losing spatial...
In this paper, a new manifold learning algorithm called Orthogonal Discriminant Neighborhood Preserving Embedding (ODNPE) is proposed for facial expression recognition. The ODNPE pursues orthogonal projections vectors to preserve the local manifold within same classes and keep the separability between different classes. The obtained orthogonal projections vectors can keep the metric structure of the...
The traditional E-learning System is to achieve self-learning function of distance. But in the learning process, the learner's emotional information can not be extracted effectively use that the study results is not ideal. Teaching system in the network to increase emotional recognition, it is a personalized Web-based Education is an important direction for the development. This paper using Adaboost...
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