FAQ

Unsupervised learning

Known as: Unsupervised approach, Unsupervised classification 
Unsupervised learning is the machine learning task of inferring a function to describe hidden structure from unlabeled data. Since the examples given… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1968-2017
050019682017

Related topics

Related topics

49 relations
Anomaly detectionArchetypal analysisArtificial intelligenceAutomatic target recognition
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Broader (1)

Machine learning

Related mentions per year

Related mentions per year

1936-2019
19401960198020002020
Unsupervised learning
Statistical classification
Machine learning
Artificial intelligence
Natural language processing
Hidden Markov model

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Unsupervised Learning of Video Representations using LSTMs
We use multilayer Long Short Term Memory (LSTM) networks to learn representations of video sequences. Our model uses an encoder… (More)
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Highly Cited
2012
Highly Cited
2012
Building high-level features using large scale unsupervised learning
We consider the problem of building high-level, class-specific feature detectors from only unlabeled data. For example, is it… (More)
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Highly Cited
2010
Highly Cited
2010
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of… (More)
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Highly Cited
2009
Highly Cited
2009
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling… (More)
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Highly Cited
2006
Highly Cited
2006
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
We present a novel unsupervised learning method for human action categories. A video sequence is represented as a collection of… (More)
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Highly Cited
2004
Highly Cited
2004
Feature Selection for Unsupervised Learning
In this paper, we identify two issues involved in developing an automated feature subset selection algorithm for unlabeled data… (More)
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Highly Cited
2003
Highly Cited
2003
Think Globally, Fit Locally : Unsupervised Learning of Low Dimensional Manifolds
The problem of dimensionality reduction arises in many fields of information processing, including machine learning, data… (More)
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Highly Cited
2003
Highly Cited
2003
Unsupervised Learning of Human Motion
An unsupervised learning algorithm that can obtain a probabilistic model of an object composed of a collection of parts (a moving… (More)
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Highly Cited
2002
Highly Cited
2002
Unsupervised Learning of Finite Mixture Models
ÐThis paper proposes an unsupervised algorithm for learning a finite mixture model from multivariate data. The adjective… (More)
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Highly Cited
2001
Highly Cited
2001
Unsupervised Learning by Probabilistic Latent Semantic Analysis
This paper presents a novel statistical method for factor analysis of binary and count data which is closely related to a… (More)
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