all AI news
Dictionary Learning with Uniform Sparse Representations for Anomaly Detection. (arXiv:2201.03869v1 [cs.LG])
Jan. 12, 2022, 2:10 a.m. | Paul Irofti, Cristian Rusu, Andrei Pătraşcu
cs.LG updates on arXiv.org arxiv.org
Many applications like audio and image processing show that sparse
representations are a powerful and efficient signal modeling technique. Finding
an optimal dictionary that generates at the same time the sparsest
representations of data and the smallest approximation error is a hard problem
approached by dictionary learning (DL). We study how DL performs in detecting
abnormal samples in a dataset of signals. In this paper we use a particular DL
formulation that seeks uniform sparse representations model to detect the …
anomaly detection arxiv detection dictionary learning uniform
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Analytics Engineer
@ CircleCI | Remote (US), Remote (Canada), San Francisco, Denver
Bilingual Executive Assistant/Data Analyst - (French and English) - Export
@ Dangote Group | Lagos, Lagos, Nigeria
Workday Services Data Lead
@ WPP | Mexico City, Mexico
Business Data Analyst
@ Nordea | Tallinn, EE, 11415
Data Integrity Lead
@ BioNTech SE | Gaithersburg, MD, US, MD 20878