Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Correlation-aware Deep Generative Model for Unsupervised Anomaly
  Detection   Unsupervised anomaly detection aims to identify anomalous samples from highly
complex and unstructured data, which is pervasive in both fundamental research
and industrial applications. However, most existing methods neglect the complex
correlation among data samples, which is important for capturing normal
patterns from which the abnormal ones deviate. In this paper, we propose a
method of Correlation aware unsupervised Anomaly detection via Deep Gaussian
Mixture Model (CADGMM), which captures the complex correlation among data
points for high-quality low-dimensional representation learning. Specifically,
the relations among data samples are correlated firstly in forms of a graph
structure, in which, the node denotes the sample and the edge denotes the
correlation between two samples from the feature space. Then, a dual-encoder
that consists of a graph encoder and a feature encoder, is employed to encode
both the feature and correlation information of samples into the
low-dimensional latent space jointly, followed by a decoder for data
reconstruction. Finally, a separate estimation network as a Gaussian Mixture
Model is utilized to estimate the density of the learned latent vector, and the
anomalies can be detected by measuring the energy of the samples. Extensive
experiments on real-world datasets demonstrate the effectiveness of the
proposed method.

12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex