Concept Drift Detection for Multivariate Data Streams and Temporal Segmentation of Daylong Egocentric Videos

Author:

Nagar Pravin1,Khemka Mansi2,Arora Chetan1

Affiliation:

1. Indian Institute of Technology Delhi, New Delhi, India

2. Columbia University, New York City, NY, USA

Funder

DST Government of India

Visvesvaraya PhD fellowship Government of India

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. UDDT: An Unsupervised Drift Detection Method for Industrial Time Series Data;2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON);2023-12-08

2. Concept drift detection and adaption framework using optimized deep learning and adaptive sliding window approach;Expert Systems;2023-07-11

3. Multi-granularity user interest modeling and interest drift detection;Intelligent Data Analysis;2023-03-15

4. Merry Go Round: Rotate a Frame and Fool a DNN;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

5. Minipatch: Undermining DNN-Based Website Fingerprinting With Adversarial Patches;IEEE Transactions on Information Forensics and Security;2022

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