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Browse All Reviews > Computing Methodologies (I) > Pattern Recognition (I.5) > Design Methodology (I.5.2) > Pattern Analysis (I.5.2...)
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1-10 of 29
Reviews about "Pattern Analysis (I.5.2...)":
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Dedicated feature descriptor for outdoor augmented reality detection
Takacs A., Toledano-Ayala M., Pedraza-Ortega J., Rivas-Araiza E. Pattern Analysis & Applications 21(2): 351-362, 2018. Type: Article
Much interest has been devoted to augmented reality (AR) in both academic and enterprise environments, and rightly so. AR enhances interaction with real-world objects by adding computer-generated information to these objects relevant t...
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Jul 19 2018 |
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Brain tumor classification from multi-modality MRI using wavelets and machine learning
Usman K., Rajpoot K. Pattern Analysis & Applications 20(3): 871-881, 2017. Type: Article
Brain tumor detection poses serious challenges not only because the brain is a complex structure in itself, but also because tumors are serious and often fatal. Of course methods already exist to scan the brain, even in a state of cons...
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Dec 15 2017 |
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A new random approach for initialization of the multiple restart EM algorithm for Gaussian model-based clustering
Kwedlo W. Pattern Analysis & Applications 18(4): 757-770, 2015. Type: Article
Initialization of Gaussian mixture model (GMM) parameters is crucial to the quality of the model because its training using the expectation-maximization (EM) algorithm is decidedly influenced by the initial values. An accepted approach...
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Mar 7 2016 |
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Context-aware television-Internet mash-ups using logo detection and character recognition
Pal A., Chattopadhyay T., Sinha A., Prasad R. Pattern Analysis & Applications 18(1): 191-205, 2015. Type: Article
An Internet-television mash-up application is a new concept for surfing the Internet and watching television simultaneously. This paper introduces one such system, which uses image processing techniques for logo detection and character...
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Jun 10 2015 |
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Citation-based plagiarism detection: detecting disguised and cross-language plagiarism using citation pattern analysis
Gipp B., Springer Vieweg, New York, NY, 2014. 350 pp. Type: Book (978-3-658063-93-1)
Gipp has published his doctoral dissertation in book form with a change in the original subtitle, “Citation-based Plagiarism Detection [CbPD]: Applying Citation Pattern Analysis to Identify Currently Non-Machine-Detectable Di...
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Apr 29 2015 |
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Detection, localization, and sex classification of faces from arbitrary viewpoints and under occlusion
Toews M., Arbel T. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(9): 1567-1581, 2009. Type: Article
What are the latest developments with regard to facial recognition algorithms? Toews and Arbel’s paper presents a formulation that detects, localizes, and classifies images from different viewpoints and with partially disguis...
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May 27 2010 |
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New characterizations of simple points in 2D, 3D, and 4D discrete spaces
Couprie M., Bertrand G. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(4): 637-648, 2009. Type: Article
This paper develops theoretical contributions in discrete mathematics (digital topology) with important practical applications in image analysis (thinning and skeletonization) for pattern recognition and computer vision. The concepts o...
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Oct 26 2009 |
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Input-dependent neural network trained by real-coded genetic algorithm and its industrial applications
Ling S., Leung F., Lam H. Soft Computing 11(11): 1033-1052, 2007. Type: Article
Neural networks (NNs) map input to output using neuron elements inspired by the human nervous system. Conventionally, the parameters of the networks are fixed after the training process, independent of the input data....
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Jan 11 2008 |
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Correlation statistics for cDNA microarray image analysis
Nagarajan R., Upreti M. IEEE/ACM Transactions on Computational Biology and Bioinformatics 3(3): 232-238, 2006. Type: Article
This paper proposes the use of correlation statistics to analyze spots in cDNA microarray image analysis, and the authors use these techniques to segment spots in the images (separating the spot’s foreground from the backgrou...
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Jun 18 2007 |
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Determination of the method of construction of 1650 B.C. wall paintings
Papaodysseus C., Fragoulis D., Panagopoulos M., Panagopoulos T., Rousopoulos P., Exarhos M., Skembris A. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(9): 1361-1371, 2006. Type: Article
This paper relates to computationally intensive image processing efforts applied to determine “if the artist (or artists) of the painting used archetypes (stencils) to draw this ancient painting or if the painting was dra...
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Dec 19 2006 |
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