"df_transactions = pd.read_excel(\"./WineKMC.xlsx\", sheet_name=1)\n", "df_transactions.columns = [\"customer_name\", \"offer_id\"]\n", "We're trying to learn more ...

Medical image segmentation ... Decoder, we use the Attention-based feature decoding module to refine the multi-scale fused feature information, which provides effective cues for attention decoding. We ...

Finally, the poor solutions are updated using Levy flight to obtain a faster convergence rate. Ten well-known UCI benchmark test datasets dedicated to clustering are selected for testing the ...

To alleviate this limitation, we propose a novel framework based on a hybrid graph neural network for few-shot image classification, incorporating deep local features clustering (Cluster-HGNN ...

Given an RGB-D scan and a reconstructed point cloud, MaskClustering leverages multi-view verification to merge 2D instance masks in each frame into 3D instances, achieving strong zero-shot ...

AI image generators can produce pictures from just a few words in a prompt, and it's becoming easier than ever to find and use these programs. You can look to these AI image generators for ...

NASA's Hubble Space Telescope captured this image of LEDA 1313424 ... Scientists were able to view eight rings using Hubble, and then, and then combined that with data from the Keck Observatory ...

use this information extensively in cognition and can intentionally segment ongoing activity into parts when asked to do so. But the fact that they are able to segment activity by no means implies ...

This important study presents compelling observational data supporting a role for transcription and polysome accumulation in the separation of newly replicated bacterial chromosomes. The study is ...

By The Learning Network Look closely at this image, stripped of its caption, and join the moderated conversation about what you and other students see. By The Learning Network Want to use ...