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基因组生物学及其未来发展论坛（网络报告）：Arabidopsis pattern recognition receptor signalling（时间：2022年6月21日16:00）（图）
基因组 生物学 未来发展 论坛 Arabidopsis pattern recognition signalling
2023/4/9
基因组生物学及其未来发展论坛（网络报告）：Arabidopsis pattern recognition receptor signalling（时间：2022年6月21日16:00）。
A physical pattern recognition approach for 2D electromagnetic induction studies
electromagnetic induction pattern recognition 2d structures
2015/9/28
We present a new tomographic procedure for the analysis of natural source electromagnetic (EM) induction field data collected over any complex 2D buried structure beneath a flat air-earth boundary. Th...
Pattern Recognition with Slow Feature Analysis
Characteristic analysis nonlinear function the input data the function of learning
2015/7/31
Slow feature analysis (SFA) is a new unsupervised algorithm to learn nonlinear functions that extract slowly varying signals out of the input data. In this paper we describe its application to pattern...
COMPARISON OF PARSING TECHNIQUES FOR THE SYNTACTIC PATTERN RECOGNITION OF SIMPLE SHAPES
algorithms vision pattern recognition understanding
2015/6/2
Syntactic Pattern Recognition is a procedure, widely used in Cartography and Remote Sensing, that trusts upon matching of sections
of maps and/or images or 3D models with archetypes or objects (pars...
WC1 Functions as a Co-Receptor and A Pattern Recognition Receptor In Bovine Gamma delta T Cells
Health and environmental sciences Endocytosis Gamma delta t cells Receptor-ligand interactions Wc1 Pattern recognition receptors
2014/12/10
WC1 proteins specifically expressed on the surface of γδ T cells are members of group B Scavenger Receptor Cysteine Rich (SRCR) superfamily, in which receptors contain several SRCR domains in the extr...
Comparison of pattern-recognition techniques for classification of Silurian rocks from Lithuania based on geochemical data
pattern-recognition techniques classification Silurian rocks geochemical data
2009/12/3
There is no widely recognized chemical classification of sedimentary rocks. The geochemical classification of sedimentary rocks utilizes features that can be observed in hand specimens or in thin sect...
How much does inclusion of non-linearity and multi-point pattern recognition improve the spatial mapping of complex patterns of groundwater contamination?
inclusion of non-linearity multi-point pattern recognition spatial mapping complex patterns
2009/10/30
In this brief communication, we discuss the implication of the hypothesis that "non-linearity and multi-point pattern recognition can improve the spatial mapping of complex patterns of groundwater con...
Terrain features and prevailing wind patterns play a dominant role in how
snow is accumulated. Research was conducted to determine the location of
snowdrifts on a 0.41 km2 subbasin of the Reynolds C...