Liang-Lun Cheng

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A target tracking algorithm based on compressed sensing and sensing subtraction was proposed in this paper. We presented the concept of sensing subtraction, combined sensing subtraction and compressed sensing, sparsely sampled the distributed sensing information in Internet of Things (IoT), and reconstructed sensing subtraction matrix by compressed sensing(More)
For the source limitations and vulnerabilities of the sensor nodes of Wireless Sensor Networks, we propose the new kind of dynamic key protocol for wireless sensor network, using the unidirection of hash function and the thinking of Hill to study the dynamic key matrix. Through theoretical analysis of some aspects, our method can promote security,(More)
Metric learning performs a task of constructing a metric space that reflects relationship of training data. Both supervised and semi-supervised settings are well studied. In this paper, we propose a method to perform semi-supervised classification in a metric learning setting. The proposed method is based on non-metric Multi-Dimensional Scaling (NMDS). An(More)
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