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https://bura.brunel.ac.uk/bitstream/2438/5452/1/FulltextThesis.pdf
Parallelizing Support Vector Machines for ... for Support Vector Machines, Proc. of IEEE FSKD’10, pp. 2983-2987. Nasullah Khalid Alham (2011) Parallelizing Support Vector Machines for Scalable Image Annotation xiv N. K. Alham, M. Li, S. Hammoud and H. Qi, Evaluating Machine Learning Techniques for
https://www.researchgate.net/publication/277810151_Parallelizing_support_vector_machines_for_scalable_image_annotation
Abstract Background Support Vector Machines (SVMs) are used for a growing number,of applications.A fundamental constraint on SVM learning is the management,of the training set.Author: Nasullah Khalid Alham
https://link.springer.com/article/10.1007/s00521-012-1237-2
Oct 31, 2012 · Among them, Support Vector Machines (SVMs) are used extensively due to their generalization properties. SVM was initially designed for binary classifications. However, most classification problems arising in domains such as image annotation usually involve more …Cited by: 11
https://core.ac.uk/display/337841
Parallelizing support vector machines for scalable image annotation . By Nasullah Khalid Alham. ... (2007). PSVM: parallelizing support vector machines on distributed computers‖, (2000). Resource description framework (RDF) schema specification 1.0‖, W3C Candidate Recommendation,Author: Nasullah Khalid Alham
https://www.researchgate.net/publication/221088725_Parallelizing_multiclass_Support_Vector_Machines_for_scalable_image_annotation
Parallelizing multiclass Support Vector Machines for scalable image annotation Conference Paper in Neural Computing and Applications 24(2):2691-2694 · July 2011 with 62 Reads How we measure 'reads'
https://www.thefreedictionary.com/Parallelizing
Parallelizing synonyms, Parallelizing pronunciation, Parallelizing translation, English dictionary definition of Parallelizing. or vb to draw parallels or points of similarity between Verb 1. parallelize - place parallel to one another lay, place, put, set, position, pose - put into...
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535931
Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords. Among them Support Vector Machines (SVMs) are used extensively due to their generalization properties. However, SVM training is notably a computationally intensive process especially when the training dataset is large.
https://www.cambridge.org/core/books/an-introduction-to-support-vector-machines-and-other-kernelbased-learning-methods/learning-methodology/4A068591523DEBF51E5A628530FB8507
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods - by Nello Cristianini March 2000 ... Parallelizing multiclass support vector machines for scalable image annotation. Neural Computing and Applications, Vol. 24, Issue. 2, p. 367. ... After the framework of the learning methodology has been introduced, the ...Cited by: 10
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.425.8470&rep=rep1&type=pdf
Parallelizing LSI for Scalable ... N. K. Alham, M. Li, Y. Liu and S. Hammoud, Parallelizing Multiclass Support Vector Machines for Scalable Image Annotation, Neurocomputing, Elsevier Science (under review) N. K. Alham, M. Li, Y. Liu and S. Hammoud, A Resource Aware Parallel SVM for Scalable Image Annotation, Parallel Computing, Elsevier Science ...
https://www.thefreelibrary.com/Automatic+Image+Annotation+Based+on+Particle+Swarm+Optimization+and...-a0546503656
Free Online Library: Automatic Image Annotation Based on Particle Swarm Optimization and Support Vector Clustering.(Research Article, Report) by "Mathematical Problems in Engineering"; Engineering and manufacturing Mathematics Algorithms Usage Digital cameras Electronic cameras Image processing Methods Machine learning Mathematical optimization Optimization theory
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