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Performance degradation of memory-intensive programs caused by the LRU policy's inability to handle weak-locality data accesses in the last level cache is increasingly serious for two reasons. First, the last-level cache remains in the CPU's critical path, where only simple management mechanisms, such as LRU, can be used, precluding some sophisticated hardware mechanisms to address the problem. Second,...
Many problems in intelligent data analysis involve some forms of dimensionality reduction. The paper discusses a new supervised dimensionality reduction method where samples are accompanied with class labels. We also show that it can be easily extended to the non-linear dimensionality reduction scenarios by the kernel tricks, and then we proposes an effective orthogonal feature subspace and correlation...
The grading of woods is mainly determined by the defects on wood surfaces and determines the potential uses and values for the sawmills. However, the dimensions of wood images are high, which is difficult to deal with. Dimensionality reduction is one of key interests in processing the higher-dimensional image data without losing intrinsic information. The problem of sub-pattern based discriminative...
The discrete formal FRFT is difficult to obtained by the directly sampling the continuous FRFT because the kernel function of the continuous fractional Fourier transform (FRFT) exhibits drastic oscillation and the oscillation amplitude has the distinct difference from the different order of the FRFT. Discrete FRFT has been intensively investigated recently and many definitions of the discrete FRFT...
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