Results 351 to 360 of about 3,899,370 (385)
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Pattern Recognition, 1971
Abstract This paper describes methods for extracting pattern-synthesizing features. A set of patterns is expressed as a Boolean matrix, allowing the problem of feature extraction to be viewed as one of factoring this matrix. Feature extraction methods based on matrix factorization and pattern intersection are presented. Attribute inclusion is defined
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Abstract This paper describes methods for extracting pattern-synthesizing features. A set of patterns is expressed as a Boolean matrix, allowing the problem of feature extraction to be viewed as one of factoring this matrix. Feature extraction methods based on matrix factorization and pattern intersection are presented. Attribute inclusion is defined
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Modalities and Feature extraction
2019In this chapter, the modalities that are relevant for affect recognition in the scope of this work are presented, together with pre-processing steps and feature choices. The discussed modalities are audio, video and a number of biophysiological channels namely electrocardiogram, electromyography and electrodermal activity.
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Trends in audio signal feature extraction methods
, 2020Garima Sharma, K. Umapathy, S. Krishnan
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Feature extraction algorithms to improve the speech emotion recognition rate
International Journal of Speech Technology, 2020Anusha Koduru, H. Valiveti, B. A. Kumar
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Feature Selection and Extraction
2010Conventional classifiers do not have a mechanism to control class boundaries. Thus if the number of features, i.e., input variables, is large compared to the number of training data, class boundaries may not overlap.
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Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Longlong Jing, Yingli Tian
exaly
CNN based feature extraction and classification for sign language
Multimedia tools and applications, 2020Abul Abbas Barbhuiya +2 more
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1987
This chapter deals with the problem of extracting features from two-dimensional image data. Extraction of three-dimensional features from range data is described in Chap. 10.
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This chapter deals with the problem of extracting features from two-dimensional image data. Extraction of three-dimensional features from range data is described in Chap. 10.
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