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TOWARD A MEANINGFUL DEFINITION OF VOCABULARY SIZE
, 1991
"... ABSTRACT Studies using dictionarysampling methods to estimate vocabulary size have left a bewildering trail of widely differing estimates. We argue that many estimates are misleading (generally too high) principally because the definition of a word is too liberal. For practical purposes (e.g., pla ..."
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ABSTRACT Studies using dictionarysampling methods to estimate vocabulary size have left a bewildering trail of widely differing estimates. We argue that many estimates are misleading (generally too high) principally because the definition of a word is too liberal. For practical purposes (e
Entity Authentication and Key Distribution
, 1993
"... Entity authentication and key distribution are central cryptographic problems in distributed computing  but up until now, they have lacked even a meaningful definition. One consequence is that incorrect and inefficient protocols have proliferated. This paper provides the first treatment of these p ..."
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Cited by 578 (13 self)
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Entity authentication and key distribution are central cryptographic problems in distributed computing  but up until now, they have lacked even a meaningful definition. One consequence is that incorrect and inefficient protocols have proliferated. This paper provides the first treatment
Dictionary of protein secondary structure: pattern recognition of hydrogenbonded and geometrical features
, 1983
"... For a successful analysis of the relation between amino acid sequence and protein structure, an unambiguous and physically meaningful definition of secondary structure is essential. We have developed a set of simple and physically motivated criteria for secondary structure, programmed as a patternr ..."
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Cited by 2096 (5 self)
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For a successful analysis of the relation between amino acid sequence and protein structure, an unambiguous and physically meaningful definition of secondary structure is essential. We have developed a set of simple and physically motivated criteria for secondary structure, programmed as a pattern
Scalespace and edge detection using anisotropic diffusion
 IEEE Transactions on Pattern Analysis and Machine Intelligence
, 1990
"... AbstractThe scalespace technique introduced by Witkin involves generating coarser resolution images by convolving the original image with a Gaussian kernel. This approach has a major drawback: it is difficult to obtain accurately the locations of the “semantically meaningful ” edges at coarse sca ..."
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Cited by 1887 (1 self)
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AbstractThe scalespace technique introduced by Witkin involves generating coarser resolution images by convolving the original image with a Gaussian kernel. This approach has a major drawback: it is difficult to obtain accurately the locations of the “semantically meaningful ” edges at coarse
The pyramid match kernel: Discriminative classification with sets of image features
 IN ICCV
, 2005
"... Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernelbased classification methods can learn complex decision boundaries, but a kernel over unordered set inputs must somehow solve for correspondenc ..."
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Cited by 544 (29 self)
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Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernelbased classification methods can learn complex decision boundaries, but a kernel over unordered set inputs must somehow solve
Towards a Physically Meaningful Definition of Computable Discontinuous and MultiValued Functions (Constraints)
"... Abstract. In computable mathematics, there are known definitions of computable numbers, computable metric spaces, computable compact sets, and computable functions. A traditional definition of a computable function, however, covers only continuous functions. In many applications (e.g., in phase tran ..."
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Abstract. In computable mathematics, there are known definitions of computable numbers, computable metric spaces, computable compact sets, and computable functions. A traditional definition of a computable function, however, covers only continuous functions. In many applications (e.g., in phase
Meaningful Alignments
, 1999
"... We propose a method for detecting geometric structures in an image, without any a priori information. Roughly speaking, we say that an observed geometric event is "meaningful" if the expectation of its occurences would be very small in a random image. We discuss the apories of this definit ..."
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Cited by 65 (14 self)
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of this definition, solve several of them by introducing "maximal meaningful events" and analyzing their structure. This methodology is applied to the detection of alignments in images.
Is Information Meaningful Data
 Philosophy and Phenomenological Research
"... There is no consensus yet on the definition of semantic information. This paper contributes to the current debate by criticising and revising the Standard Definition of semantic Information (SDI) as meaningful data, in favour of the DretskeGrice approach: meaningful and wellformed data constitute ..."
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Cited by 25 (4 self)
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There is no consensus yet on the definition of semantic information. This paper contributes to the current debate by criticising and revising the Standard Definition of semantic Information (SDI) as meaningful data, in favour of the DretskeGrice approach: meaningful and wellformed data constitute
Definition
"... Adventure Learning is an approach used to design online and hybrid education that provides students with opportunities to investigate and experience authentic topics within collaborative learning environments. Adventure Learning environments and opportunities can take one of two forms: (a) A team of ..."
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of individuals goes on an exploratory expedition of a topic of interest. The expedition is adventurebased and occurs outdoors, at a location that allows meaningful investigation of the topic of interest. For example, to explore a community’s flora, a team could kayak the length of a local river to investigate
An Operational Definition of a Statistically Meaningful Trend
, 2011
"... Linear trend analysis of time series is standard procedure in many scientific disciplines. If the number of data is large, a trend may be statistically significant even if data are scattered far from the trend line. This study introduces and tests a quality criterion for time trends referred to as s ..."
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Cited by 1 (0 self)
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to as statistical meaningfulness, which is a stricter quality criterion for trends than high statistical significance. The time series is divided into intervals and interval mean values are calculated. Thereafter, r 2 and p values are calculated from regressions concerning time and interval mean values. If r 2 $0
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