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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… 
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Related topics

Related topics

49 relations
Anomaly detectionArtificial intelligence for video surveillanceAutoencoderAutomatic target recognition

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification
Many existing approaches to person re-identification (Re-ID) are based on supervised learning, which requires hundreds of… 
Review
2013
Review
2013
Recent approaches to non-intrusive load monitoring techniques in residential settings
The concept of Smart Grids is closely related to energy conservation and load shedding concepts. However, it is difficult to… 
Highly Cited
2011
Highly Cited
2011
Cross-view action recognition via view knowledge transfer
In this paper, we present a novel approach to recognizing human actions from different views by view knowledge transfer. An… 
Highly Cited
2007
Highly Cited
2007
Feature selection methods for text classification
We consider feature selection for text classification both theoretically and empirically. Our main result is an unsupervised… 
Highly Cited
2005
Highly Cited
2005
Detection and explanation of anomalous activities: representing activities as bags of event n-grams
We present a novel representation and method for detecting and explaining anomalous activities in a video stream. Drawing from… 
Highly Cited
2005
Highly Cited
2005
User-adaptive hand gesture recognition system with interactive training
Highly Cited
2004
Highly Cited
2004
Unsupervised image segmentation using a simple MRF model with a new implementation scheme
Highly Cited
2002
Highly Cited
2002
Unsupervised change-detection methods for remote-sensing images
An unsupervised change detection problem can be viewed as a classification problem with only two classes corresponding to the… 
Highly Cited
1999
Highly Cited
1999
Evaluation of Texture Segmentation Algorithms
This paper presents a method of evaluating unsupervised texture segmentation algorithms. The control scheme of texture… 
Highly Cited
1995
Highly Cited
1995
A neural fuzzy control system with structure and parameter learning
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