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One-class classification

Known as: PU, PU learning, Unary classification 
In machine learning, one-class classification, also known as unary classification, tries to identify objects of a specific class amongst all objects… 
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Related topics

Related topics

10 relations
Anomaly detectionBinary classificationBioinformaticsMachine learning

Broader (1)

Statistical classification

Papers overview

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Highly Cited
2013
Highly Cited
2013
Novel Adaptive Algorithm for Intra Prediction With Compromised Modes Skipping and Signaling Processes in HEVC
  • Li-Li WangW. Siu
  • IEEE transactions on circuits and systems for…
  • 2013
  • Corpus ID: 17954810
Up to 35 intra prediction modes are available for each Luma prediction unit in the coming HEVC standard. This can provide more… 
Highly Cited
2012
Highly Cited
2012
Fast HEVC intra prediction mode decision based on EDGE direction information
The High Efficiency Video Coding (HEVC) is an emerging standard that achieves higher encoding efficiency when compared to… 
2010
2010
One-class classification for oil spill detection
SAR oil spill classification is a challenging topic, which is tackled by semi-empirical ad hoc approaches supported by very… 
Highly Cited
2010
Highly Cited
2010
A geometric approach to improve spectrum efficiency for cognitive relay networks
Cognitive radio (CR) enables dynamic spectrum access (DSA). In CR networks (CRNs), unlicensed cognitive users (CUs) can share the… 
2010
2010
Multi-task Learning for one-class classification
In this paper, we address the problem of one-class classification. Taking into account the fact that in some applications, the… 
Highly Cited
2010
Highly Cited
2010
Sequential cooperative sensing for multi-channel cognitive radios
sequential cooperative spectrum sensing algorithm is developed for multi-channel cognitive radio (CR) systems. Each CR quantizes… 
2010
2010
Synthesis and biocompatibility of anionic polyurethane nanoparticles coated with adsorbed chitosan
2010
2010
Distributed Compressive Wideband Spectrum Sensing in Cooperative Multi-Hop Cognitive Networks
This paper develops a distributed compressed spectrum sensing approach for cooperative wideband multi-hop cognitive radio (CR… 
2009
2009
Overhead-Throughput Tradeoff in Cooperative Cognitive Radio Networks
In a cognitive radio (CR) network, cooperative spectrum sensing plays an important role in ensuring the quality of service (QoS… 
Highly Cited
2007
Highly Cited
2007
Sound damping of a polyurethane foam nanocomposite
To improve the sound damping effect of flexible polyurethane foam, with an open-cell structure, various plate-like fillers, such… 
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