Feature Selection and Extraction
Feature Extraction and Selection in Automatic Sleep Stage Classification
... a feature selection method was proposed in this ...of feature vectors is calculated, then considering the range of the extracted L1-norm, a similarity threshold is ...The feature pair whose ...
177
Morphological feature selection and neural classification
... processing and feature extraction. The open-source and Java-based application ImageJ was used as a platform for this task ...scaled and cropped, and the colour infor- mation was ...
6
Application of Fisher Score and mRMR Techniques for Feature Selection in Compressed Medical Images
... visual and semantic ...retrieval and the feature extraction is used along with color, shape and texture feature extraction to extract the query image from the database ...
13
Fatigue Feature Extraction Analysis based on a K-Means Clustering Approach
... A wavelet transform can be classified as either a continuous wavelet transform (CWT) or a discrete wavelet transform (DWT), depending on the discretization of the scale parameter of the analyzing wavelet. A DWT based on ...
8
Moment feature based fast feature extraction algorithm for moving object detection using aerial images.
... of feature extraction using aerial images from unmanned aerial vehicles (UAVs) has increased in the field of computer vision with the development of moving object detection algorithms using aerial ...
11
Comparative analysis of strategies for feature extraction and classification in SSVEP BCIs.
... (1) feature extraction performed by different spectral methods (bank of filters, Welch’s method and the mag- nitude of the short-time Fourier transform); (2) feature selection by means ...
9
Classifier ensemble feature selection for automatic fault diagnosis
... solved and gives some tools that can be used by human specialists or intelligent systems to construct automatic fault diagnosis ...e.g. Feature Extraction, Feature Selection and ...
112
Higher order feature extraction and selection for robust human gesture recognition using CSI of COTS Wi-Fi devices
... (C and γ) influences the classification performance of a non-linear SVM with Gaussian RBF ...C and γ are the parameters for a nonlinear SVM, which influences the accuracy and cost parameter of the ...
23
Feature extraction and selection analysis in biological sequence: a case study with metaheuristics and mathematical models
... analysis and information extraction from these ...algorithms and pipeline pro- ...(1) feature extraction and (2) feature selec- ...reduction and feature ...
105
Image Processing Techniques for Denoising, Object Identification and Feature Extraction
... noise and the second stage involves the further refinement of the first ...first and second stage procedures are the same except for the noise level in the input data, where the noise level for second stage ...
6
Feature Extraction based Face Recognition, Gender and Age Classification
... Moghaddam and Ming-Hsuan [16] developed an appearance based method to classify gender from facial images using nonlinear SVMs and compared their performance with traditional classifiers and modern ...
10
Feature extraction and selection for automatic hate speech detection on Twitter
... data and tested it on the remaining 30%, keeping a balanced distribution of classes in both train and test ...extracted and merged a set of 20 tweets and applied the model trained on the blog ...
109
Linear and Non-Linear Feature Extraction Algorithms for Lunar Images
... Bue et al.[7] have discussed limitations of optical image data and outlined an algorithm using solely digital elevation model. Lourenço et.al [8] developed the automated procedure for the identification of impact ...
12
LOW-LEVEL TIE FEATURE EXTRACTION OF MOBILE MAPPING DATA (MLS/IMAGES) AND AERIAL IMAGERY
... low- and high-level feature extraction methods, are relevant for this research ...the selection of suitable correspondences, the registration of data originating from different sensors ...
8
Sequence-based classification using discriminatory motif feature selection.
... case and the direct analysis of sequence data may not be ...sequence-based feature extraction with downstream classification has been applied to several molecular genomic phenotypes, such as: CpG ...
7
EEG Classification Using Different Feature Extraction Techniques for Emotion Recognition
... parameters, and signal energy in different frequency bands which have been ...manner and the number of EEG channels is ...power and standard, because they investigate the EEG signal in different ...
6
Discriminating between lysine sumoylation and lysine acetylation using mRMR feature selection and analysis.
... spectrometry and Chip-on-Chip [20] techniques are often time consuming, expensive, and sometimes insufficient to recognize all of the modification sites in ...motifs and providing insight into the ...
10
FACIAL FEATURE EXTRACTION USING STATISTICAL QUANTITIES OF CURVE COEFFICIENTS
... a feature extraction method based on the statistical descriptors of Curve coefficients is ...scale, and needle shaped elements at fine ...edges and other singularities along curves much more ...
9
A Frequent Pattern Mining Algorithm for Feature Extraction of Customer Reviews
... Online shoppers often have different idea about the same product. They look for the product features that are consistent with their goal. Sometimes a feature might be interesting for one, while it does not make ...
7
Automatic analysis of skin lesions in dermoscopy images: feature extraction and classification
... epidermis and the nevus cells is that the latter cluster as nests within the lower epidermis and/or dermis, whereas epidermal melanocytes usually are evenly dispersed as single ...corneum and the ...
125