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Update the sampling with simplified code to generate reasonable sample but not iterate using linear solver; also update the sampling algorithm to correctly weight for distance in the sample (currently…
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was there any problem with the implementation of the farthest point sampling algorithm in the file th_ops/sampling/tf_sampling_g.cu ?
we should sort the rest of points by the sum of the distances be…
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- title: "Environmental Monitoring database (MOD) DNV"
- GBIF: https://www.gbif.org/dataset/bed78790-cbec-44af-82af-fe78e9692287
- URLs:
- https://ipt.gbif.no/resource?r=dnv
This dataset hoste…
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Hi, I've read your paper and have some questions about the Fastest Class Sampling you mentioned: "... Then we select any n1 superclass from K and calculate the distance between the cluster centers.."
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Hi, our group is trying #on barefoot.
When reading the wiki and source code I came across the parameter matcher.lambda. It is adaptively set as the function of sampling time:
`double beta = lambd…
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Bonjour, nous avons commencé à tester le module monitoring avec Frédéric ROBIN de la LPO et nous arions une question concernant la mise en place d'une géométrie sur les niveaux "Visites" et "Observati…
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Below is a checklist of tasks that need taking care of in different time-windows. Unless otherwise indicated, @stijnhofhuis will be in charge of the tasks.
**Before sharing MS with remaining co-au…
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Hi, I wonder if you also tried the distance weighted margin loss specified in Sampling Matters in Deep Embedding Learning.
I see you have the sampling scheme applied to deviance loss. I wonder why?
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Suggestion from Leah Ettema:
>Just an idea for StreamCatTools R package: It would be great if there could be a function that provides some measure of where a sampling point is on the COMID in order …
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Importance sampling where a hyper sphere with radius $\beta$ is excluded. Here $\beta$ is the reliabiliy index, i.e., the distance to the design point in standard normal space.