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Learning Representations of Ultrahigh-dimensional Data for Random
  Distance-based Outlier Detection

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

13 June 2018
Guansong Pang
LongBing Cao
Ling-Hao Chen
Huan Liu
ArXiv (abs)PDFHTML

Papers citing "Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection"

31 / 81 papers shown
Stabilizing Adversarially Learned One-Class Novelty Detection Using
  Pseudo Anomalies
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo AnomaliesIEEE Transactions on Image Processing (IEEE TIP), 2022
M. Zaheer
Jin-ha Lee
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
AAML
222
22
0
25 Mar 2022
Functional Anomaly Detection: a Benchmark Study
Functional Anomaly Detection: a Benchmark StudyInternational Journal of Data Science and Analysis (JDSA), 2022
Guillaume Staerman
E. Adjakossa
Pavlo Mozharovskyi
V. Hofer
J. Gupta
Nathan Huet
479
19
0
13 Jan 2022
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation
Deep Graph-level Anomaly Detection by Glocal Knowledge DistillationWeb Search and Data Mining (WSDM), 2021
Rongrong Ma
Guansong Pang
Ling-Hao Chen
Anton Van Den Hengel
192
113
0
19 Dec 2021
Out-of-Distribution Detection Without Class Labels
Out-of-Distribution Detection Without Class Labels
Niv Cohen
Ron Abutbul
Yedid Hoshen
OODD
250
12
0
14 Dec 2021
Enhancing Unsupervised Anomaly Detection with Score-Guided Network
Enhancing Unsupervised Anomaly Detection with Score-Guided NetworkIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zongyuan Huang
Baohua Zhang
Guoqiang Hu
Longyuan Li
Yanyan Xu
Yaohui Jin
289
20
0
10 Sep 2021
Anomaly Detection of Defect using Energy of Point Pattern Features
  within Random Finite Set Framework
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set FrameworkEngineering applications of artificial intelligence (EAAI), 2021
Ammar Mansoor Kamoona
A. Gostar
A. Bab-Hadiashar
R. Hoseinnezhad
124
19
0
27 Aug 2021
Explainable Deep Few-shot Anomaly Detection with Deviation Networks
Explainable Deep Few-shot Anomaly Detection with Deviation Networks
Guansong Pang
Choubo Ding
Chunhua Shen
Anton Van Den Hengel
236
108
0
01 Aug 2021
IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via
  Infinite Propagation
IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation
Sibo Zhu
Han Zhao
Hongfu Liu
148
0
0
01 Aug 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Xiaoxiao Ma
Hongzhi Zhang
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNNAI4TS
428
708
0
14 Jun 2021
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly
  Detection
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly DetectionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Yingjie Zhou
Xuchen Song
Yanru Zhang
Fanxing Liu
Ce Zhu
Lingqiao Liu
UQCV
334
138
0
22 May 2021
A Hierarchical Transformation-Discriminating Generative Model for Few
  Shot Anomaly Detection
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Shelly Sheynin
Sagie Benaim
Lior Wolf
177
101
0
29 Apr 2021
Supervised Anomaly Detection via Conditional Generative Adversarial
  Network and Ensemble Active Learning
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Zhi Chen
Jiang Duan
Li Kang
Guoping Qiu
AI4CE
181
48
0
24 Apr 2021
RLAD: Time Series Anomaly Detection through Reinforcement Learning and
  Active Learning
RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning
Tong Wu
Jorge Ortiz
AI4TS
172
31
0
31 Mar 2021
Clustered Hierarchical Anomaly and Outlier Detection Algorithms
Clustered Hierarchical Anomaly and Outlier Detection Algorithms
Najib Ishaq
Thomas J. Howard
Noah M. Daniels
224
8
0
09 Feb 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature
  Magnitude Learning
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude LearningIEEE International Conference on Computer Vision (ICCV), 2021
Yu Tian
Guansong Pang
Yuanhong Chen
Rajvinder Singh
Johan Verjans
G. Carneiro
AI4TS
480
431
0
25 Jan 2021
Double-Adversarial Activation Anomaly Detection: Adversarial
  Autoencoders are Anomaly Generators
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly GeneratorsIEEE International Joint Conference on Neural Network (IJCNN), 2021
Jan-Philipp Schulze
Philip Sperl
Konstantin Böttinger
200
6
0
12 Jan 2021
Detecting, Localising and Classifying Polyps from Colonoscopy Videos
  using Deep Learning
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning
Yu Tian
L. Pu
Yuyuan Liu
Gabriel Maicas
Johan Verjans
A. Burt
Seon Ho Shin
Rajvinder Singh
G. Carneiro
136
8
0
09 Jan 2021
Comparison of Anomaly Detectors: Context Matters
Comparison of Anomaly Detectors: Context MattersIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
V. Škvára
Jan Francå
Matěj Zorek
Tomás Pevný
Václav Smídl
380
10
0
11 Dec 2020
Reconstruct Anomaly to Normal: Adversarial Learned and Latent
  Vector-constrained Autoencoder for Time-series Anomaly Detection
Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection
Chunkai Zhang
Wei Zuo
Xinyu Wang
AI4TS
75
6
0
14 Oct 2020
Algorithmic Frameworks for the Detection of High Density Anomalies
Algorithmic Frameworks for the Detection of High Density AnomaliesIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2020
Ralph Foorthuis
86
3
0
09 Oct 2020
A Simple Framework for Uncertainty in Contrastive Learning
A Simple Framework for Uncertainty in Contrastive Learning
Mike Wu
Noah D. Goodman
UQCV
250
19
0
05 Oct 2020
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning
Meta-AAD: Active Anomaly Detection with Deep Reinforcement LearningIndustrial Conference on Data Mining (IDM), 2020
Daochen Zha
Kwei-Herng Lai
Mingyang Wan
X. Hu
195
67
0
16 Sep 2020
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from
  Partially Labeled Anomaly Data
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly DataKnowledge Discovery and Data Mining (KDD), 2020
Guansong Pang
Anton Van Den Hengel
Chunhua Shen
LongBing Cao
OffRL
198
113
0
15 Sep 2020
Anomaly Detection by Recombining Gated Unsupervised Experts
Anomaly Detection by Recombining Gated Unsupervised ExpertsIEEE International Joint Conference on Neural Network (IJCNN), 2020
Jan-Philipp Schulze
Philip Sperl
Konstantin Böttinger
311
1
0
31 Aug 2020
Deep Learning for Anomaly Detection: A Review
Deep Learning for Anomaly Detection: A Review
Guansong Pang
Chunhua Shen
LongBing Cao
Anton Van Den Hengel
308
1,176
0
06 Jul 2020
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy
Yu Tian
Gabriel Maicas
L. Pu
Rajvinder Singh
Johan Verjans
G. Carneiro
MedIm
141
41
0
26 Jun 2020
Outlier Detection Ensemble with Embedded Feature Selection
Outlier Detection Ensemble with Embedded Feature SelectionAAAI Conference on Artificial Intelligence (AAAI), 2020
Li Cheng
Yijie Wang
Xinwang Liu
Bin Li
OODD
192
20
0
15 Jan 2020
Unsupervised Representation Learning by Predicting Random Distances
Unsupervised Representation Learning by Predicting Random DistancesInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Hu Wang
Guansong Pang
Chunhua Shen
Congbo Ma
OODSSL
110
86
0
22 Dec 2019
Deep Anomaly Detection with Deviation Networks
Deep Anomaly Detection with Deviation NetworksKnowledge Discovery and Data Mining (KDD), 2019
Guansong Pang
Chunhua Shen
Anton Van Den Hengel
184
426
0
19 Nov 2019
Deep Weakly-supervised Anomaly Detection
Deep Weakly-supervised Anomaly DetectionKnowledge Discovery and Data Mining (KDD), 2019
Guansong Pang
Chunhua Shen
Huidong Jin
Anton van den Hengel
244
120
0
30 Oct 2019
Outlier Detection in High Dimensional Data
Outlier Detection in High Dimensional DataJournal of Information & Knowledge Management (JIKM), 2019
F. Kamalov
Ho-Hon Leung
122
8
0
09 Sep 2019
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