Results 1  10
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3,052
Word Association Norms, Mutual Information, and Lexicography
, 1990
"... This paper will propose an objective measure based on the information theoretic notion of mutual information, for estimating word association norms from computer readable corpora. (The standard method of obtaining word association norms, testing a few thousand subjects on a few hundred words, is b ..."
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Cited by 1144 (11 self)
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This paper will propose an objective measure based on the information theoretic notion of mutual information, for estimating word association norms from computer readable corpora. (The standard method of obtaining word association norms, testing a few thousand subjects on a few hundred words
Reconsidering Subjective Norm Reconsidering Subjective Norm – A MultilayerFramework for Modeling Normative Beliefs in IT Adoption
"... In the history of adoption research, subjective norm mostly remains as the unloved child, being significant in this analysis and not significant in that analysis. Already Davis et al. had to exclude subjective norm of the Technology Acceptance Model due to theoretical and measurement problems. Overa ..."
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In the history of adoption research, subjective norm mostly remains as the unloved child, being significant in this analysis and not significant in that analysis. Already Davis et al. had to exclude subjective norm of the Technology Acceptance Model due to theoretical and measurement problems
ATTITUDES AND SUBJECTIVE NORMS: DETERMINANTS OF PARENTS’ INTENTIONS TO REDUCE CHILDHOOD FEVER WITH MEDICATIONS
"... Theory of Planned Behavior; medication use; childhood fever; attitudes, subjective norms ..."
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Theory of Planned Behavior; medication use; childhood fever; attitudes, subjective norms
THE SIGNIFICANT OTHERS OF SUBJECTIVE NORM A SCIENTOMETRIC STUDY OF SUBJECTIVE NORM IN IS TOPJOURNALS OVER TWO DECADES
"... Undoubtedly social influence in IS research is an issue that needs to be much more clearly examined. In order to assuage the wants for more research in this field we conducted a scientometric analysis of subjective norm in the IS topjournals of the JAIS ranking for the last two decades. In total 11 ..."
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Undoubtedly social influence in IS research is an issue that needs to be much more clearly examined. In order to assuage the wants for more research in this field we conducted a scientometric analysis of subjective norm in the IS topjournals of the JAIS ranking for the last two decades. In total
For Most Large Underdetermined Systems of Linear Equations the Minimal ℓ1norm Solution is also the Sparsest Solution
 Comm. Pure Appl. Math
, 2004
"... We consider linear equations y = Φα where y is a given vector in R n, Φ is a given n by m matrix with n < m ≤ An, and we wish to solve for α ∈ R m. We suppose that the columns of Φ are normalized to unit ℓ 2 norm 1 and we place uniform measure on such Φ. We prove the existence of ρ = ρ(A) so that ..."
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Cited by 568 (10 self)
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We consider linear equations y = Φα where y is a given vector in R n, Φ is a given n by m matrix with n < m ≤ An, and we wish to solve for α ∈ R m. We suppose that the columns of Φ are normalized to unit ℓ 2 norm 1 and we place uniform measure on such Φ. We prove the existence of ρ = ρ(A) so
The theory of planned behavior
 Organizational Behavior and Human Decision Processes
, 1991
"... Research dealing with various aspects of * the theory of planned behavior (Ajzen, 1985, 1987) is reviewed, and some unresolved issues are discussed. In broad terms, the theory is found to be well supported by empirical evidence. Intentions to perform behaviors of different kinds can be predicted wit ..."
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Cited by 2754 (9 self)
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with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior. Attitudes, subjective norms, and perceived behavioral control are shown
Roles of Compatibility, Subjective Norm, and Media Influences
, 2011
"... that th bally (IANS lion w man, 2 advan chann numer use of and Eu 2008; service countr bile tr access provid differe ..."
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that th bally (IANS lion w man, 2 advan chann numer use of and Eu 2008; service countr bile tr access provid differe
Attitude, Subjective Norm and Intention toward Using the Statistical Software
"... Abstract: The purpose of this study is to compare the difference of attitude, subjective norm and intention toward using the statistical software between two groups. There are two groups under a natural experimental setting. The experimental group is learning to use the statistical software in a co ..."
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Abstract: The purpose of this study is to compare the difference of attitude, subjective norm and intention toward using the statistical software between two groups. There are two groups under a natural experimental setting. The experimental group is learning to use the statistical software in a
Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging
 MAGNETIC RESONANCE IN MEDICINE 58:1182–1195
, 2007
"... The sparsity which is implicit in MR images is exploited to significantly undersample kspace. Some MR images such as angiograms are already sparse in the pixel representation; other, more complicated images have a sparse representation in some transform domain–for example, in terms of spatial finit ..."
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Cited by 538 (11 self)
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undersampling schemes are developed and analyzed by means of their aliasing interference. Incoherence is introduced by pseudorandom variabledensity undersampling of phaseencodes. The reconstruction is performed by minimizing the ℓ1 norm of a transformed image, subject to data fidelity constraints. Examples
Compressed sensing
, 2004
"... We study the notion of Compressed Sensing (CS) as put forward in [14] and related work [20, 3, 4]. The basic idea behind CS is that a signal or image, unknown but supposed to be compressible by a known transform, (eg. wavelet or Fourier), can be subjected to fewer measurements than the nominal numbe ..."
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Cited by 3625 (22 self)
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We study the notion of Compressed Sensing (CS) as put forward in [14] and related work [20, 3, 4]. The basic idea behind CS is that a signal or image, unknown but supposed to be compressible by a known transform, (eg. wavelet or Fourier), can be subjected to fewer measurements than the nominal
Results 1  10
of
3,052