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Semi-Supervised Kernel Orthogonal Subspace Projection

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
The Orthogonal Subspace Projection (OSP) algorithm is substantially a kind of matched filter that requires the evaluation of a prototype for each class to be detected. The kernel OSP (KOSP) has recently demonstrated improved results for target detection in hyperspectral images. The use of kernel helps to combat the high dimensionality problem and makes
CAPOBIANCO L.   +2 more
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J-Orthogonal Projections

2011
J-orthogonal projections are intimately related to the J-symmetry of the phase space matrices which govern damped systems. In this chapter we study these projections in some detail.
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From Orthogonal Projections to Symbolic Projections

1999
Symbolic projections are applicable to pictorial information retrieval and spatial reasoning problems where the relative spatial locations of objects are of interest. In this chapter the elements of the Theory of Symbolic Projection are introduced. 2D string representations of symbolic pictures are described.
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Real Orthogonal Projections as Quantum Logic

International Journal of Theoretical Physics, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Orthogonal Projections and Bases

2012
In this section we discuss the very practical problem of fitting a line, a plane, or a curve to a set of given points when this can only be done approximately. For example, we may expect some observed data to be the coordinates of points on a straight line, but they turn out to be only approximately so. Then our problem is to find a line that fits them
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Click and Bio-Orthogonal Reactions with Mesoionic Compounds

Chemical Reviews, 2021
Margaux Riomet   +2 more
exaly  

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