5 Result(s)
within
Wentao Fan
Computational Intelligence
Pattern Recognition
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Article
Unsupervised image categorization based on deep generative models with disentangled representations and von Mises-Fisher distributions
Variational autoencoders (VAEs) have emerged as powerful deep generative models for learning abstract representations in the latent space, making them highly applicable across diverse domains. This paper prese...
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Article
Deep generative clustering methods based on disentangled representations and augmented data
This paper presents a novel clustering approach that utilizes variational autoencoders (VAEs) with disentangled representations, enhancing the efficiency and effectiveness of clustering. Traditional VAE-based ...
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Article
Transformer-based contrastive learning framework for image anomaly detection
Anomaly detection refers to the problem of uncovering patterns in a given data set that do not conform to the expected behavior. Recently, owing to the continuous development of deep representation learning, a...
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Article
Unsupervised modeling and feature selection of sequential spherical data through nonparametric hidden Markov models
As spherical data (i.e. \(L_2\) L 2 ...
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Article
Simultaneous clustering and feature selection via nonparametric Pitman–Yor process mixture models
Mixture models constitute one of the most important machine learning approaches. Indeed, they can be considered as the workhorse of generative machine learning. The majority of existing works consider mixtures...
