Skip to search formSkip to main contentSkip to account menu

Feature extraction

Known as: Linear feature extraction 
In machine learning, pattern recognition and in image processing, feature extraction starts from an initial set of measured data and buildsderived… 
Wikipedia (opens in a new tab)

Related topics

Related topics

49 relations
Air-CobotApache SparkAutoencoderAutomated ECG interpretation

Broader (1)

Feature detection (computer vision)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
Due to the advantages of deep learning, in this paper, a regularized deep feature extraction (FE) method is presented for… 
Review
2014
Review
2014
A survey of feature selection and feature extraction techniques in machine learning
Dimensionality reduction as a preprocessing step to machine learning is effective in removing irrelevant and redundant data… 
Highly Cited
2011
Highly Cited
2011
Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
We present in this paper a novel approach for training deterministic auto-encoders. We show that by adding a well chosen penalty… 
Highly Cited
2011
Highly Cited
2011
Latent Low-Rank Representation for subspace segmentation and feature extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually… 
Review
2006
Review
2006
An Introduction to Feature Extraction
This chapter introduces the reader to the various aspects of feature extraction covered in this book. Section 1 reviews… 
Highly Cited
2003
Highly Cited
2003
Feature Extraction by Non-Parametric Mutual Information Maximization
We present a method for learning discriminative feature transforms using as criterion the mutual information between class labels… 
Highly Cited
2003
Highly Cited
2003
Multi‐scale Feature Extraction on Point‐Sampled Surfaces
We present a new technique for extracting line‐type features on point‐sampled geometry. Given an unstructuredpoint cloud as input… 
Highly Cited
2000
Highly Cited
2000
Tandem connectionist feature extraction for conventional HMM systems
Hidden Markov model speech recognition systems typically use Gaussian mixture models to estimate the distributions of… 
Highly Cited
1999
Highly Cited
1999
Wavelet packet feature extraction for vibration monitoring
Condition monitoring of dynamic systems based on vibration signatures has generally relied upon Fourier based analysis as a means… 
Highly Cited
1998
Highly Cited
1998
Feature Extraction, Construction and Selection: A Data Mining Perspective
From the Publisher: The book can be used by researchers and graduate students in machine learning, data mining, and knowledge… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)