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OBJECT RECOGNITION WITH SIFT AND MI-SIFT METHODS
2015This study, which has been commonly used in object recognition area for 10 years, is based on the recognition of special point-based objects and there are differences in some areas such as luminance, anguler and resistance from cyclic and dimensional changes.
HARDALAÇ, Fırat +3 more
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Selected ion flow tube mass spectrometry (SIFT-MS) is a chromatography-free, direct-analysis technique that is ideally suited to real-time, quantitative analysis of volatile compounds in air at trace concentrations. SIFT-MS utilises highly controlled, soft chemical ionisation – in the form of gas-phase ion–molecule reactions – coupled with mass ...
Vaughan S. Langford, Mark J. Perkins
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Vaughan S. Langford, Mark J. Perkins
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Mathematical Proceedings of the Cambridge Philosophical Society, 1982
Let g(y) denote an arbitrary real-valued function satisfying g(y) → ∞ as y → ∞. One expects, and, subject to certain conjectures, Heath-Brown(3) has proved, that for all y in (1, X], apart from a set of measure o(X), the interval (y, y + g(y) log y] contains primes.
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Let g(y) denote an arbitrary real-valued function satisfying g(y) → ∞ as y → ∞. One expects, and, subject to certain conjectures, Heath-Brown(3) has proved, that for all y in (1, X], apart from a set of measure o(X), the interval (y, y + g(y) log y] contains primes.
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Soft red winter (SRW) wheat basis reflects local demand conditions influenced by a range of structural and market factors. This study describes market signaling through carry and basis, arbitrage opportunities in SRW wheat, and the advantages or disadvantages of different grain origination contracts.
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2D object recognition: a comparative analysis of SIFT, SURF and ORB feature descriptors
Multimedia Tools and Applications, 2021Monika Bansal, Munish Kumar
exaly

