Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA.
Shahroz TariqSangyup LeeYoujin ShinMyeong Shin LeeOkchul JungDaewon ChungSimon S. WooPublished in: KDD (2019)
Keyphrases
- detecting anomalies
- anomaly detection
- principal component analysis
- probabilistic model
- low dimensional
- lower dimensional
- bayesian networks
- data mining applications
- recurrent neural networks
- reduced dimensionality
- data sets
- abnormal events
- principal components analysis
- independent component analysis
- feature space
- data structure
- database
- decision support
- dimensionality reduction
- feature extraction
- face recognition
- decision trees
- real world