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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.
2020
2020
Adversarial Learning-Based Semantic Correlation Representation for Cross-Modal Retrieval
Cross-modal retrieval has become a hot issue in past years. Many existing works pay attentions on correlation learning to… 
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
Neural-based Context Representation Learning for Dialog Act Classification
We explore context representation learning methods in neural-based models for dialog act classification. We propose and compare… 
2017
2017
Combining single shot multibox detector with transfer learning for ship detection using Sentinel-1 images
Synthetic aperture radar (SAR) images are all-weather, all-time, and wide coverage, increasingly used for ship detection to… 
2015
2015
Coupled depth learning
In this paper we propose a method for estimating depth from a single image using a coarse to fine approach. We argue that… 
2014
2014
Distributed representations for compositional semantics
The mathematical representation of semantics is a key issue for Natural Language Processing (NLP). A lot of research has been… 
2014
2014
Wi-Fi positioning based on deep learning
In this paper, we propose a Wi-Fi positioning method based on Deep Learning (DL). To deal with the variant and unpredictable… 
2012
2012
Network-Wide Local Unambiguous Failure Localization (NWL-UFL) via Monitoring Trails
Monitoring trail (m-trail) has been proposed as an effective approach for link failure localization in all-optical wavelength… 
2005
2005
Mode-coupling control and new index profile of GI POF for restricted-launch condition in very-short-reach networks
This paper confirms that numerical aperture (NA) is a key factor in mode coupling [the energy transfer among propagating modes in… 
Highly Cited
1989
Highly Cited
1989
Meiosis Networks
A central problem in connectionist modelling is the control of network and architectural resources during learning. In the… 
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