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Combining Network Functions Virtualization (NFV) with Software-Defined Networking (SDN) is an emerging solution to provide fine-grained control over scalable and elastic packet processing functions. Due to changes in network policy, traffic characteristics, or physical topology in Software-Defined NFV (SDNFV) systems, the controller needs to carry out network updates frequently, i.e., change the data...
The large amount of SIFT descriptors in an image and the high dimensionality of SIFT descriptor has made problems for large-scale image dataset in terms of speed and scalability. In this paper, we propose a descriptor selection algorithm via dictionary learning and only a small set of features are reserved, which we refer to as TOP-SIFT. We discover the inner relativity between the problem of descriptor...
Relevance feedback schmes based on support vector machines (SVM) have been widely used in content-based image retrieval (CBIR). SVM-based relevance feedback has often bad performance when the number of labeled positive feedback samples is small. This paper presents a method to use the unlabeled data to improve the performance of SVM classifier, which has only a few labeled training examples. We adapt...
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