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Sensed Compression with Cosine and Noiselet Measurements for Medical Imaging

2012
We verified compression efficiency of the procedures based on compressive sensing (CS) inspiration. Medical imaging was concerned as challenging area of possible applications. Irreversible image compression algorithm was integrated with source data measurements according to CS rules.
Artur Przelaskowski, Rafal Józwiak
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Fuzzy Lattice Neurocomputing Using Weighted Cosine Similarity Measure

2007 International Joint Conference on Neural Networks, 2007
In this work, we investigate the effects of changing the underlying inclusion measure used by fuzzy lattice neurocomputing (FLN) classifiers to the cosine similarity measures. We also show that by weighing the contribution of each attribute found in the data set, we can provide additional improvements over simply using an inclusion/similarity measure ...
Al Cripps, Nghiep Nguyen
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XML Documents Clustering Research Based on Weighted Cosine Measure

2010 Fifth International Conference on Frontier of Computer Science and Technology, 2010
Recently, a large amount of work has been done in XML data mining. However, most of the existing work focuses on the snapshot XML data, while XML data is dynamic in practical application. In order to mine knowledge hidden in the frozen structures (FS) which are not changed or very little changed during the historical changing process of an XML document,
Wei Li, Xiongfei Li, Yan Zhao
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A family of cosine-sum windows for high-resolution measurements

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
Special windows are used in spectral analysis to reduce the effect of spectral leakage. Windows with low sidelobe amplitude are necessary for the detection of small signals when highly dynamic spectra are concerned. The design of a family of cosine-sum windows with minimum sidelobes is described.
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On principal component analysis, cosine and Euclidean measures in information retrieval

Information Sciences, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tuomo Korenius   +2 more
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A taxonomy based semantic similarity of documents using the cosine measure

2009 24th International Symposium on Computer and Information Sciences, 2009
In this paper, we present a new method for calculating semantic similarities between documents. This method is based on cosine similarity calculation between concept vectors of documents obtained from a taxonomy of words that captures IS-A relations. The calculation of semantic similarities between documents is a very time consuming task, since it is ...
Ainura Madylova   +1 more
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A novel interval-valued neutrosophic AHP with cosine similarity measure

Soft Computing, 2018
Neutrosophic Logic (Smarandache in Neutrosophy neutrosophic probability: set, and logic, American Research Press, Rehoboth, 1998) has been applied to many multicriteria decision-making methods such as Technique for Order Preference by Similarity to an Ideal Solution, Visekriterijumsko kompromisno rangiranje Resenje, and Evaluation based on Distance ...
Eda Boltürk, Cengiz Kahraman
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k-Factor-Based Cosine Similarity Measurement

2018
With rapid increase in volume of text documents over Internet, the collections of document in digitilized form piling up every day. There is a need of effective and efficient measurement techniques in order to deal with such an enormous amount of data.
Nadia Siddiqui, Saiful Islam
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A test of the cosine relationship using three‐radar velocity measurements

Radio Science, 1983
Three coherent radars have been used to obtain simultaneous radial Doppler velocity measurements in three directions from a common volume in the E layer of the high‐latitude ionosphere. The cosine relationship, which was derived in the fluid approximation of the plasma instabilities associated with radar aurora, provides a consistent framework in which
Nielsen, E.   +3 more
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Visual tracking of a moving object via the soft cosine measure

2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017
In this paper, we propose a Local Soft Similarity based on Soft Cosine Measure (L3SCM) and then we incorporate it into visual tracking framework. Firstly, we present the soft cosine measure that measures the soft similarity between two vectors of features by taking into consideration similarities of pairs of features.
Driss Moujahid   +2 more
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