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This paper proposes the Anchored Kernel Metric Learning (AKML) method, which learns metrics by sparsely combining locally discriminative rank-1 basis matrices in the anchored kernel induced space. First, we apply k-means clustering to generate anchored samples, thus forming an anchored sample matrix. Based on the assumption that the basis matrices can be formulated as linear combinations of anchored...
Nowadays, the Infrastructure as a Service (IaaS) cloud has become the new target of attackers and the security of virtual machine (VM) in cloud is attracting more and more attention. In this pater, we propose to use virtualization to combine information of system level with that of network level and monitor the behavior of VM at the granularity of process. Based on Xen hypervisor, we implement this...
Gridding is the first and most important step to separate the spots into distinct areas in microarray image analysis. Human intervention is necessary for most gridding methods, even if some so-called fully automatic approaches also need preset parameters. The applicability of these methods is limited in certain domains and will cause variations in the gene expression results. In addition, improper...
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