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Feature learning

Known as: Learning representation, Representation learning, Unsupervised feature learning 
In machine learning, feature learning or representation learning is a set of techniques that learn a feature: a transformation of raw data input to a… 
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Related topics

Related topics

33 relations
Artificial neural networkAutoencoderBasis functionBoltzmann machine

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
NILC at CWI 2018: Exploring Feature Engineering and Feature Learning
This paper describes the results of NILC team at CWI 2018. We developed solutions following three approaches: (i) a feature… 
2017
2017
Information Dropout: learning optimal representations through noise
We introduce Information Dropout, a generalization of dropout that is motivated by the Information Bottleneck principle and… 
2016
2016
Morphological Attribute Profiles With Partial Reconstruction
Extended attribute profiles (EAPs) have been widely used for the classification of high-resolution hyperspectral images. EAPs are… 
2015
2015
Class specific sparse representation for classification
2014
2014
A Pattern Reconfigurable Chassis-Mode MIMO Antenna
Reconfigurable multiple-input multiple-output (MIMO) antennas have the potential to improve the performance of a MIMO antenna… 
2014
2014
Learning Multilingual Word Representations using a Bag-of-Words Autoencoder
Recent work on learning multilingual word representations usually relies on the use of word-level alignements (e.g. infered with… 
2013
2013
A Global Approach for the Detection of Vanishing Points and Mutually Orthogonal Vanishing Directions
This article presents a new global approach for detecting vanishing points and groups of mutually orthogonal vanishing directions… 
2013
2013
Type-Driven Syntax and Semantics for Composing Meaning Vectors
  • S. Clark
  • Quantum Physics and Linguistics
  • 2013
  • Corpus ID: 11634729
A draft chapter for the OUP book on Compositional methods in Physics and Linguistics. This draft formatted on 27th February 2012. 
2011
2011
A Novel Approach for Failure Localization in All-Optical Mesh Networks
Achieving fast and precise failure localization has long been a highly desired feature in all-optical mesh networks. Monitoring… 
2009
2009
FEATURELearning from activists: lessons for designers
ist communications projects are described in Chandler, A. and Neumark, N. (eds), At a Distance: Precursors to Art and Activism on… 
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