Results 221 to 230 of about 533,095 (268)

A Binary Feature Extraction Technique

IEEE Transactions on Computers, 1974
Numerous schemes are available for feature selection in a pattern recognition problem, but the feature extraction process is largely intuitive. A sequential feature extraction scheme is proposed for binary features. A decision function, which is linear and near optimal, is developed concurrently with each feature.
K. S. Grewal, J. D. Patterson
openaire   +2 more sources

Features extraction for speech emotion

Journal of Computational Methods in Sciences and Engineering, 2009
In this paper the speech emotion verification using two most popular methods in speech processing and analysis based on the Mel-Frequency Cepstral Coefficient (MFCC) and the Gaussian Mixture Model (GMM) were proposed and analyzed. In both cases, features for the speech emotion were extracted using the Short Time Fourier Transform (STFT) and Short Time ...
Norhaslinda Kamaruddin, Abdul Wahab 0001
openaire   +2 more sources

On Feature Extraction via Kernels

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008
Using the kernel trick idea and the kernels-as-features idea, we can construct two kinds of nonlinear feature spaces, where linear feature extraction algorithms can be employed to extract nonlinear features. In this correspondence, we study the relationship between the two kernel ideas applied to certain feature extraction algorithms such as linear ...
Cheng Yang, Liwei Wang 0001, Jufu Feng
openaire   +3 more sources

Feature extraction in classification

2013
Feature extraction, or dimensionality reduction, is an essential part of many machine learning applications. The necessity for feature extraction stems from the curse of dimensionality and the high computational cost of manipulating high-dimensional data. In this thesis we focus on feature extraction for classification.
openaire   +3 more sources

Software feature extraction using infrequent feature extraction

2016 6th International Annual Engineering Seminar (InAES), 2016
Evolution and maintenance processes are important but time consuming and expensive. It is very important to make the processes effective and efficient. A software developer can use resource like user opinion data to get information, such as user request, bug report, and user experience.
Divi Galih Prasetyo Putri, Daniel Oranova Siahaan   +1 more
openaire   +1 more source

Logical Networks for Feature Extraction

IEEE Transactions on Systems, Man, and Cybernetics, 1971
The extraction of features for the purpose of reconstituting a pattern set may be particularly useful in those cases where a large number of patterns can be decomposed into a relatively small set of sub-patterns. By the representation of pattern and feature sets as matrices, the concept of feature determination has been extended to multilevel features ...
openaire   +2 more sources

Feature Extraction on Binary Patterns

IEEE Transactions on Systems Science and Cybernetics, 1969
The objects and methods of automatic feature extraction on binary patterns are briefly reviewed. An intuitive interpretation for geometric features is suggested whereby such a feature is conceived of as a cluster of component vectors in pattern space.
openaire   +1 more source

Multivariate Feature Extraction

2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2022
Xiangxiang Xu 0001, Lizhong Zheng
openaire   +2 more sources

Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis

IEEE Transactions on Cybernetics, 2021
Bo Peng, Bing Xue, Ying Bi
exaly  

Joint Feature Selection and Extraction With Sparse Unsupervised Projection

IEEE Transactions on Neural Networks and Learning Systems, 2023
Jingyu Wang, Feiping Nie, Xuelong Li
exaly