Titlebook: Neural Information Processing; 24th International C Derong Liu,Shengli Xie,El-Sayed M. El-Alfy Conference proceedings 2017 Springer Interna

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Discriminative Semi-supervised Learning Based on Visual Concept-Like Featureslearning methods usually use unlabeled data to augment the training set or regularize the decision boundary of classifiers. The classification results rely on the precision on unlabeled data using supervised classifiers trained with limited labeled samples. When a small number of labeled samples are

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Convolutional Gated Recurrent Units Fusion for Video Action Recognition-stream ConvNets can further boost the performance. Existing fusion methods focus on short snippets thus fails to learn global representations for videos. We introduce a Convolutional Gated Recurrent Units (ConvGRU) fusion method to model long-term dependency inside actions. This fusion method takes

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An Improved Random Walk Algorithm for Interactive Image Segmentationbased algorithms have been proved to be efficient. However, a large number of seeds (i.e., pixels with user-specified labels) must be given in advance to achieve a desirable segmentation for such algorithms, which makes user interaction inconvenient. To solve this problem, we improve the random walk

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