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It is an important method of the land use change dynamic monitoring to withdraw the land utilization information using remote sensing image accurately and quickly. However, most of them seemed to be immature enough. This paper aims to use the prior knowledge which is established from one land cover map and remote sensing imagery to realize the automatic extraction of specific land cove class from...
When facing one vector electronic map with correct spatial location information and the other one with correct physics attributes, it is a significant research work to rectify the latter one according to the prior one's correct spatial location information. The map-rectification which can rectify them to similar spatial location information is a method to save time and reduce the financial venture...
This paper introduces a model of mixture of probabilistic linear regressions (MPLR) to learn a mapping function between two feature spaces. The MPLR consists of weighted combination of several probabilistic linear regressions, whose parameters are estimated by using matrix calculation. The mixture nature of MPLR allows it to model nonlinear transformation. The formulation of MPLR is general and independent...
This paper proposes a set of affine invariant features (AIFs) for sequence data. The proposed AIFs can be calculated directly from the sequence data, and their invariance to affine transformation is proved mathematically through algebraic calculation. We apply the AIFs to speech recognition. Since the vocal tract length (VTL) difference causes to frequency warping which can be approximated well by...
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