Text · dataset · 2025
Mixture Density Mercer Kernels: A Method to Learn Kernels
Listed in Open NASA
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density estimate.
Description
We show how to convert the ensemble estimates into a Mercer Kernel, describe the properties of this new kernel function, and give examples of the performance of this kernel on unsupervised clustering of synthetic data and also in the domain of unsupervised multispectral image understanding.
Links
Get the data
- Probabilistic_Kernels_2003.pdf c3.nasa.gov/dashlink/static/media/publication/Probabilistic_Kernels_2003.p… ↗
download · from open nasa gov
Where it is published
- Open NASA dataset page data.nasa.gov/dataset/mixture-density-mercer-kernels-a-method-to-learn-kerne… ↗
landing page · from open nasa gov
Catalogue records · 1
- CKAN API data.nasa.gov/api/3/action/package_show?id=91d9562c-0e4e-4196-a632-92854aa93… ↗
metadata API · from open nasa gov
Topics
- Inferred from text
- Image 75%
Related
- Possibly the same asMixture Density Mercer Kernels: A Method to Learn Kernels
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Open NASA | 91d9562c-0e4e-4196-a632-92854aa93672 | 18 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[modality].local:modality:image | enrichment · open nasa gov | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · open nasa gov | connector:open_nasa_gov@1.0.0 | |
| description | source · open nasa gov | connector:open_nasa_gov@1.0.0 | /notes |
| license_text | source · open nasa gov | connector:open_nasa_gov@1.0.0 | |
| publication_date | source · open nasa gov | connector:open_nasa_gov@1.0.0 | |
| title | source · open nasa gov | connector:open_nasa_gov@1.0.0 | /title |
| updated_date | source · open nasa gov | connector:open_nasa_gov@1.0.0 |