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Natural Language Semantics, 2014
Sign languages are known to display the same general grammatical properties as spoken languages (‘Universal Grammar’), but also to make greater use of iconic mechanisms. In Schlenker et al.’s ‘Iconic Variables’ (Linguist Philos 36(2):91–149, 2013), it was argued that loci (= positions in signing space corresponding to discourse referents) can have an ...
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Sign languages are known to display the same general grammatical properties as spoken languages (‘Universal Grammar’), but also to make greater use of iconic mechanisms. In Schlenker et al.’s ‘Iconic Variables’ (Linguist Philos 36(2):91–149, 2013), it was argued that loci (= positions in signing space corresponding to discourse referents) can have an ...
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Feature conversion between neutral features and application features
Computers & Industrial Engineering, 1995Abstract The mapping of design intent to the subsequent downstream application features, such as machining planning, setup planning, engineering analysis, assembly planning, etc., are important areas of research in CIM. This paper describes a prototype feature conversion system.
Leung, CB, Wong, TN
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2016
Most original work on feature extraction has its root in classical 2D image processing (Sec.1) and mainly focuses on edge detection and the localization of interest points and regions. In practice, extracting these features corresponds to segment the image and to analyze its content.
S Biasotti +3 more
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Most original work on feature extraction has its root in classical 2D image processing (Sec.1) and mainly focuses on edge detection and the localization of interest points and regions. In practice, extracting these features corresponds to segment the image and to analyze its content.
S Biasotti +3 more
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Principal feature classification
IEEE Transactions on Neural Networks, 1997The concept, structures, and algorithms of principal feature classification (PFC) are presented in this paper. PFC is intended to solve complex classification problems with large data sets. A PFC network is designed by sequentially finding principal features and removing training data which has already been correctly classified. PFC combines advantages
Q, Li, D W, Tufts
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Nursing Standard, 1988
I feel drawn to respond to the letter from David Harding- Price entitled 'Alternative NHS Funding' which appeared in the Nursing Standard of January 9, 1988.
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I feel drawn to respond to the letter from David Harding- Price entitled 'Alternative NHS Funding' which appeared in the Nursing Standard of January 9, 1988.
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