Your English writing platform
Discover LudwigExact(34)
The extraction of the descriptor is based on a pose normalisation preprocessing phase which is designed for axially symmetric objects.
The evaluation on the UCF-101 action recognition dataset demonstrates that the descriptor is applicable in challenging unconstrained environments.
The descriptor is now more intuitive, like choosing the right song at karaoke: there's not quite a science to it, but there are a few tried-and-true gimmes, and you know a good one when you hear it.
The descriptor is a catchall for the area containing the many watersheds draining into this easternmost section of the Bering Sea, which include the Togiak, Nushagak, Naknek and Kvichak rivers.
Finally, the descriptor is constructed by concatenating all sub-descriptors which are obtained by pooling local features within each spatial bin via the second-order statistics (covariance matrix).
The descriptor is a generalization of multichannel color co-occurrence matrices (MCMs), which focus on using robust and discriminative magnitude textures in filtered images.
Similar(26)
In each model the descriptor was used as a dependent variable.
The spread of the descriptors is around the center of the scale.
The order of performance of the descriptors is now ECFP4 with Property descriptors > ECFP4 ≈ GCUT with Property descriptors > GCUT ≈ Property descriptors ≈ BCUT with GCUT > BCUT.
The order of performance of the descriptors is ECFP4 with Property descriptors > Property descriptors > ECFP4 > GCUT with Property Descriptors > BCUT with GCUT > GCUT > BCUT.
The descriptors are as fun as the selections are deep.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com