Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 217,273,813 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
49 relations
Air-Cobot
Apache Spark
Autoencoder
Automated ECG interpretation
Expand
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
Yushi Chen
,
Hanlu Jiang
,
Chunyang Li
,
X. Jia
,
Pedram Ghamisi
IEEE Transactions on Geoscience and Remote…
2016
Corpus ID: 2078144
Due to the advantages of deep learning, in this paper, a regularized deep feature extraction (FE) method is presented for…
Expand
Highly Cited
2013
Highly Cited
2013
Image Texture Feature Extraction Using GLCM Approach
P. Mohanaiah
,
P. Sathyanarayana
,
L. GuruKumar
,
Dept. of E.C.E NEC-Narasaraopeta Professor
,
India Nellore
2013
Corpus ID: 9132178
Feature Extraction is a method of capturing visual content of images for indexing & retrieval. Primitive or low level image…
Expand
Highly Cited
2011
Highly Cited
2011
Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
Jonathan Masci
,
U. Meier
,
D. Ciresan
,
J. Schmidhuber
International Conference on Artificial Neural…
2011
Corpus ID: 12640199
We present a novel convolutional auto-encoder (CAE) for unsupervised feature learning. A stack of CAEs forms a convolutional…
Expand
Highly Cited
2011
Highly Cited
2011
Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
Salah Rifai
,
Pascal Vincent
,
X. Muller
,
Xavier Glorot
,
Yoshua Bengio
International Conference on Machine Learning
2011
Corpus ID: 8141422
We present in this paper a novel approach for training deterministic auto-encoders. We show that by adding a well chosen penalty…
Expand
Review
2008
Review
2008
A Survey of Shape Feature Extraction Techniques
Ming Yang
,
K. Kidiyo
,
R. Joseph
2008
Corpus ID: 60779308
"A picture is worth one thousand words". This proverb comes from Confucius a Chinese philosopher before about 2500 years ago. Now…
Expand
Review
2006
Review
2006
An Introduction to Feature Extraction
Isabelle M Guyon
,
A. Elisseeff
Feature Extraction
2006
Corpus ID: 6444367
This chapter introduces the reader to the various aspects of feature extraction covered in this book. Section 1 reviews…
Expand
Highly Cited
1999
Highly Cited
1999
Wavelet packet feature extraction for vibration monitoring
G. Yen
,
Kuo-Chung Lin
IJCNN'99. International Joint Conference on…
1999
Corpus ID: 11699652
Condition monitoring of dynamic systems based on vibration signatures has generally relied upon Fourier based analysis as a means…
Expand
Highly Cited
1998
Highly Cited
1998
Feature Extraction, Construction and Selection: A Data Mining Perspective
Huan Liu
,
Hiroshi Motoda
1998
Corpus ID: 62230592
From the Publisher: The book can be used by researchers and graduate students in machine learning, data mining, and knowledge…
Expand
Highly Cited
1993
Highly Cited
1993
Nuclear feature extraction for breast tumor diagnosis
W. Street
,
W. Wolberg
,
O. Mangasarian
Electronic imaging
1993
Corpus ID: 14922543
Interactive image processing techniques, along with a linear-programming-based inductive classifier, have been used to create a…
Expand
Highly Cited
1989
Highly Cited
1989
Feature extraction from faces using deformable templates
A. Yuille
,
Peter W. Hallinan
,
David S. Cohen
Proceedings CVPR '89: IEEE Computer Society…
1989
Corpus ID: 8700837
We propose a method for detecting and describing features of faces using deformable templates. The feature of interest, an eye…
Expand
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)
ACCEPT & CONTINUE