Exact(50)
We see significant improvements resulting from the fusion of multiple features, which achieves the best performance for all the categories.
The production of multiple features in combinations of serial and parallel operations is not fully considered.
The combination of multiple features in a segmentation system is not a straightforward process.
As the demand for thin displays with more features accelerates, the need for backlight systems to become thinner and capable of multiple features increases.
The integration of multiple features is important for action categorization and object recognition in videos, because single feature based representation hardly captures imaging variations and individual attributes.
These requirements are naturally met in the proposed particle filter-based method, which makes use of multiple features with the corresponding likelihood functions and keeps multiple road hypotheses as particles.
Similar(10)
This paper pays attention to ensemble systems consisting of multiple feature extractors and multiple classifiers (MFMC).
To that end, we first formalize the notion of the MTRNN query by considering the influence of multiple feature types.
We define three types of multiple feature interpretations or models, (1) only positive, (2) mixed and (3) only negative.
The first three architectures are based on the use of multiple feature sets whereas the fourth architecture is based on the use of a unique feature set.
The approach combines the strength of multiple feature sets to characterize the rich information of eye patches (concerning both local/global shapes and local textures) and to construct the eye state model.
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