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support vector machines

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Date: 2012
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/1300381
Description: This paper describes and experimentally evaluates a new variation of multiclass classification using support vector machines. The technique, called pairwise adaptive support vector machines (pa-SVM), ... More
Reviewed: Reviewed
Date: 2007
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/1303158
Description: This paper analyzes and examines the general ability of Support Vector Machine (SVM) models to correctly predict and trade daily EUR exchange rate directions. Seven models with varying kernel function... More
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Date: 2008
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/802649
Description: This interdisciplinary study proposes a method for architectural design analysis of house fa├žades which is based on face detection and facial expression classification. The hypothesis is that abstract... More
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Date: 2014
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/1060047
Description: This article presents a computer vision approach that can detect and classify abstract face-like patterns, including subliminal faces within a scene. This can be regarded as a way of simulating the ph... More
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Creators: Hong, Kenny
Date: 2013
Language: eng
Resource Type: thesis
Identifier: http://hdl.handle.net/1959.13/1039549
Description: Research Doctorate - Doctor of Philosophy (PhD)
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Creators: Jalalian, Arash
Date: 2012
Language: eng
Resource Type: thesis
Identifier: http://hdl.handle.net/1959.13/933429
Description: Research Doctorate - Doctor of Philosophy (PhD)
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Date: 2002
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/915946
Description: Support vector machines (SVMs) have been widely adopted for classification, regression and novelty detection. Recent studies (A. Ben-Hur et al., 2001) proposed to employ them for cluster analysis too.... More
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Date: 2010
Language: eng
Resource Type: conference paper
Identifier: uon:7863
Description: Current approaches to facial expression classification employ a variety of expression classes and different preprocessing steps, making comparison of results difficult. To outline the effects of these... More
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Date: 2007
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/808886
Description: The two-spiral task is a well-known benchmark for binary classification. The data consist of points on two intertwined spirals which cannot be linearly separated. This article reviews how this task an... More
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Date: 2013
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/1042985
Description: We describe a new technique for sequential data analysis, called GDTW-P-SVMs. It is a maximum margin method for the construction of classifiers with variable-length input series. It employs potential ... More
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Reviewed: Reviewed
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