Matches in SemOpenAlex for { <https://semopenalex.org/work/W336224045> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W336224045 abstract "This work examines joint anomaly detection and dictionary learning approaches for identifying anomalies in persistent surveillance applications that require data compression. We have developed a sparsity-driven anomaly detector that can be used for learning dictionaries to address these challenges. In our approach, each training datum is modeled as a sparse linear combination of dictionary atoms in the presence of noise. The noise term is modeled as additive Gaussian noise and a deterministic term models the anomalies. However, no model for the statistical distribution of the anomalies is made. An estimator is postulated for a dictionary that exploits the fact that since anomalies by definition are rare, only a few anomalies will be present when considering the entire dataset. From this vantage point, we endow the deterministic noise term (anomaly-related) with a group-sparsity property. A robust dictionary learning problem is postulated where a group-lasso penalty is used to encourage most anomaly-related noise components to be zero. The proposed estimator achieves robustness by both identifying the anomalies and removing their effect from the dictionary estimate. Our approach is applied to the problem of ship detection and tracking from full-motion video with promising results." @default.
- W336224045 created "2016-06-24" @default.
- W336224045 creator A5000130950 @default.
- W336224045 creator A5005948973 @default.
- W336224045 creator A5055173150 @default.
- W336224045 date "2015-05-22" @default.
- W336224045 modified "2023-10-17" @default.
- W336224045 title "Sparsity-driven anomaly detection for ship detection and tracking in maritime video" @default.
- W336224045 cites W1986590528 @default.
- W336224045 cites W1999177119 @default.
- W336224045 cites W2002194693 @default.
- W336224045 cites W2007371521 @default.
- W336224045 cites W2124267685 @default.
- W336224045 cites W2160547390 @default.
- W336224045 cites W2787894218 @default.
- W336224045 cites W4235713725 @default.
- W336224045 doi "https://doi.org/10.1117/12.2178417" @default.
- W336224045 hasPublicationYear "2015" @default.
- W336224045 type Work @default.
- W336224045 sameAs 336224045 @default.
- W336224045 citedByCount "3" @default.
- W336224045 countsByYear W3362240452018 @default.
- W336224045 countsByYear W3362240452021 @default.
- W336224045 countsByYear W3362240452022 @default.
- W336224045 crossrefType "proceedings-article" @default.
- W336224045 hasAuthorship W336224045A5000130950 @default.
- W336224045 hasAuthorship W336224045A5005948973 @default.
- W336224045 hasAuthorship W336224045A5055173150 @default.
- W336224045 hasConcept C104317684 @default.
- W336224045 hasConcept C105795698 @default.
- W336224045 hasConcept C115961682 @default.
- W336224045 hasConcept C121332964 @default.
- W336224045 hasConcept C127313418 @default.
- W336224045 hasConcept C12997251 @default.
- W336224045 hasConcept C13280743 @default.
- W336224045 hasConcept C153180895 @default.
- W336224045 hasConcept C154945302 @default.
- W336224045 hasConcept C185429906 @default.
- W336224045 hasConcept C185592680 @default.
- W336224045 hasConcept C26873012 @default.
- W336224045 hasConcept C33923547 @default.
- W336224045 hasConcept C41008148 @default.
- W336224045 hasConcept C55493867 @default.
- W336224045 hasConcept C58754882 @default.
- W336224045 hasConcept C61797465 @default.
- W336224045 hasConcept C62520636 @default.
- W336224045 hasConcept C63479239 @default.
- W336224045 hasConcept C739882 @default.
- W336224045 hasConcept C76155785 @default.
- W336224045 hasConcept C94915269 @default.
- W336224045 hasConcept C99498987 @default.
- W336224045 hasConceptScore W336224045C104317684 @default.
- W336224045 hasConceptScore W336224045C105795698 @default.
- W336224045 hasConceptScore W336224045C115961682 @default.
- W336224045 hasConceptScore W336224045C121332964 @default.
- W336224045 hasConceptScore W336224045C127313418 @default.
- W336224045 hasConceptScore W336224045C12997251 @default.
- W336224045 hasConceptScore W336224045C13280743 @default.
- W336224045 hasConceptScore W336224045C153180895 @default.
- W336224045 hasConceptScore W336224045C154945302 @default.
- W336224045 hasConceptScore W336224045C185429906 @default.
- W336224045 hasConceptScore W336224045C185592680 @default.
- W336224045 hasConceptScore W336224045C26873012 @default.
- W336224045 hasConceptScore W336224045C33923547 @default.
- W336224045 hasConceptScore W336224045C41008148 @default.
- W336224045 hasConceptScore W336224045C55493867 @default.
- W336224045 hasConceptScore W336224045C58754882 @default.
- W336224045 hasConceptScore W336224045C61797465 @default.
- W336224045 hasConceptScore W336224045C62520636 @default.
- W336224045 hasConceptScore W336224045C63479239 @default.
- W336224045 hasConceptScore W336224045C739882 @default.
- W336224045 hasConceptScore W336224045C76155785 @default.
- W336224045 hasConceptScore W336224045C94915269 @default.
- W336224045 hasConceptScore W336224045C99498987 @default.
- W336224045 hasLocation W3362240451 @default.
- W336224045 hasOpenAccess W336224045 @default.
- W336224045 hasPrimaryLocation W3362240451 @default.
- W336224045 hasRelatedWork W1997866865 @default.
- W336224045 hasRelatedWork W2007266074 @default.
- W336224045 hasRelatedWork W2049245941 @default.
- W336224045 hasRelatedWork W2076520961 @default.
- W336224045 hasRelatedWork W2099615906 @default.
- W336224045 hasRelatedWork W2116325143 @default.
- W336224045 hasRelatedWork W2145555436 @default.
- W336224045 hasRelatedWork W2886930206 @default.
- W336224045 hasRelatedWork W2945590966 @default.
- W336224045 hasRelatedWork W47273084 @default.
- W336224045 isParatext "false" @default.
- W336224045 isRetracted "false" @default.
- W336224045 magId "336224045" @default.
- W336224045 workType "article" @default.