Support Vector Method for Novelty Detection
Bernhard Schölkopf, Robert C. Williamson, Alex Smola, John Shawe‐Taylor, John Platt
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- An introduction to kernel-based learning algorithms→Support Vector Method for Novelty DetectionLegacy edge — source detail unavailable
- Classification in the Presence of Label Noise: A Survey→Support Vector Method for Novelty DetectionLegacy edge — source detail unavailable
- Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervise…→Support Vector Method for Novelty DetectionLegacy edge — source detail unavailable
- A review of novelty detection→Support Vector Method for Novelty DetectionLegacy edge — source detail unavailable
- Towards Total Recall in Industrial Anomaly Detection→Support Vector Method for Novelty DetectionLegacy edge — source detail unavailable
- Support Vector Method for Novelty Detection→Statistical Learning TheoryLegacy edge — source detail unavailable
- Support Vector Method for Novelty Detection→Estimating the Support of a High-Dimensional DistributionLegacy edge — source detail unavailable
- An introduction to kernel-based learning algorithms→Estimating the Support of a High-Dimensional DistributionLegacy edge — source detail unavailable
- An introduction to kernel-based learning algorithms→Statistical Learning TheoryLegacy edge — source detail unavailable
- Estimating the Support of a High-Dimensional Distribution→An introduction to kernel-based learning algorithmsLegacy edge — source detail unavailable
- Estimating the Support of a High-Dimensional Distribution→Statistical Learning TheoryLegacy edge — source detail unavailable
- Classification in the Presence of Label Noise: A Survey→Estimating the Support of a High-Dimensional DistributionLegacy edge — source detail unavailable
- Towards Total Recall in Industrial Anomaly Detection→Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervise…Legacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Statistical Learning Theory | 1999 | 26,957 |
| Estimating the Support of a High-Dimensional Distribution | 2001 | 6,097 |
What cites it, inside the corpus
Links
Topics
| Anomaly Detection Techniques and Applications | Computer Science |
| Fault Detection and Control Systems | Engineering |
| Machine Learning and Data Classification | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports5 author record(s) attached.
- supports8 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 6e314d9c6052d1ed…