Results: Finding the Threshold for Spectral Artifacts
Finding recurrence networks’ threshold adaptively for a specific time series
... a threshold to identify recurrent states is ...the threshold is important in order to avoid bias of the recurrence network ...constant threshold and adaptive threshold cases to study ...
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Finding a suitable threshold value for an iris-based authentication system
... the threshold value deemed to be secure and appropriate has not been thoroughly ...studied. Threshold is a value that defines the acceptable amount of the correct bits of the image before securely passing ...
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Sub threshold depression and antidepressants use in a community sample: searching anxiety and finding bipolar disorder
... Limitations of the study Our study has some significant limitations: first, some of the phenomena observed have a very low prevalence despite the use of a large sample of around 4,000, thus the results need to be ...
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Alveolar pentraxin 3 as an early marker of microbiologically confirmed pneumonia: a threshold-finding prospective observational study
... Our results indicate that rapid assay of PTX3 levels in BAL fluid can predict the presence of lung infection about 48 hours before culture data be- come available ...higher threshold (7 ng/ml) and, ...
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Detectability Threshold of the Spectral Method for Graph Partitioning
... the results obtained by Nadakuditi and Newman [ 20 ...detectability threshold with the spectral method has already been proposed by Krzakala et ...
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Using Multispectral Information to Decrease the Spectral Artifacts in Sparse-Aperture Imagery
... the spectral artifacts in an aberrated sparse-aperture system when compared to a single band approach with the same amount of ...the spectral artifacts, more than 3 bands are ...the ...
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Finding spectral features for the early identification of biotic stress in plants
... promising results of applying SVMs for weed and plant disease detection were achieved, exploitation of the potential of modern machine learning methods for the aims of precision agriculture is still in its ...
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Finding the spectral radius of a large sparse non-negative matrix
... Under certain conditions for convergence the diagonal entries of the R k ma- trix will eventually approximate the r largest eigenvalues of A. Golub and VanLoan [7] gave details of the method in page 332 ff. The method of ...
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Threshold Bloodstain Recognition Method Based on Hyper-spectral Imaging Technology
... a threshold method based on spectral co-efficient and inter-class variance is proposed in this paper, which can be applied in crime scene for the identification and detection of bloodstain, including the ...
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An always convergent method for finding the spectral radius of an irreducible non-negative
... when A is irreducible and it gives an estimate of the error at each step. It also has an advantage over the method of Theorem 7 in that it applies to any irreducible, non-negative matrix, not just a primitive matrix. ...
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Gari D. Clifford. 3.1 Introduction. 3.2 Spectral and Cross-Spectral Analysis of the ECG. CHAPTER 3 ECG Statistics, Noise, Artifacts, and Missing Data
... 3.5.1 Arrhythmia Classification from Beat Typing A run of abnormal beats can be classified as an arrhythmia. Therefore, as long as consistent fiducial points can be located on a series of beats, simple postprocessing of ...
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Threshold selection in gene co-expression networks using spectral graph theory techniques
... the spectral graph theory- based method presented here is that it is a systematic method for threshold ...The spectral approach attempts to move beyond the need for employing these arbitrary ...
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FIREVAT: finding reliable variants without artifacts in human cancer samples using etiologically relevant mutational signatures
... Validation refinement evaluation methods, Method S3. R sessionInfo for validation and downstream analyses scripts. Additional file 2. Figure S1 to S4. Artifactual signatures in the TCGA (MC3) dataset, Figure S5. ...
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A robust spectral method for finding lumpings and meta stable states of non-reversible Markov chains
... For each value of ǫ shown, the average switching time is measured for 100 matrices of size 200 × 200 in the respective class. The time τ is scaled so that the “correct partitioning” used to generate the matrices has ...
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Finding Aid to the Institute for Regional Studies Archives Artifacts Inventory
... Institute Artifacts Inventory, Institute for Regional Studies Archives, North Dakota State University, Fargo.. SCOPE & CONTENT.[r] ...
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The Spectral Sensitivity and Absolute Threshold of Onchidoris Fusca (MÜller)
... For each filter the percentage response to the standard lamp was then plotted against the intensity of the spectral lamp (Fig. 2), and the intensity for each filter at which there was a [r] ...
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Finding the Optimal Value for Threshold Cryptography on Cloud Computing
... using threshold cryptography on cloud environment is to protect the keys, which are the most important elements in cryptographic ...systems. Threshold cryptography works by dividing the private key to a ...
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Life Sciences Product Development Artifacts Survey Results
... Two main issues with manually managing documents, which can easily be hundreds of pages long, are being able to prove both the accountability and traceability required of most compliance standards. The majority of life ...
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Spectral Results for Operator Valued Functions
... Fundamental Results for Holomorphic Operator Valued Functions Let X denote a complex Banach Space and let L(X ) denote the Banach space of bounded linear operators with domain and range in X ...
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Artifacts
... Waveland. Finding the shell road that led to the little neighborhood on the beach, the travelers pedaled swiftly toward what would be the heaven-sent hospitality of ...
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