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Network latency prediction is important for server selection and quality-of-service estimation in real-time applications on the Internet. Traditional network latency prediction schemes attempt to estimate the latencies between all pairs of nodes in a network based on sampled round-trip times, through either Euclidean embedding or matrix factorization. However, these schemes become less effective in...
Text detection is a difficult task due to the significant diversity of the texts appearing in natural scene images. In this paper, we propose a novel text descriptor, SPP-net, extracted by equipping the Convolutional Neural Network (CNN) with spatial pyramid pooling. We first compute the feature maps from the original text lines without any cropping or warping, and then generate the fixed-size representations...
On the basis of online boosting algorithm, this paper presents an optimized target tracking algorithm. Now, the commonly-used tracking algorithm usually tracks the targets as a whole, thus facing great difficulty in realizing effective tracking while the target is severely shielded. In order to surmount the difficulties resulting from shielding, this paper puts forward block-based target tracking...
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