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support vector machines | Chalup, Stephan K.

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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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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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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: 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: 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: 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: 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
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