IEEE

Hierarchical Graph Interaction Transformer With Dynamic Token Clustering for Camouflaged Object Detection

Abstract: Camouflaged object detection (COD) aims to identify the objects that seamlessly blend into the surrounding backgrounds. Due to the intrinsic similarity between the camouflaged objects and ...
IEEE

Efficient Data Summarization Using Contemporary Clustering Techniques

Abstract: In order to summarize complex datasets for exploratory data analysis, this study investigates the efficacy of clustering algorithms such Spectral Clustering, Mean-shift Clustering, KMeans ...
ahajournals.org

Role of Morbidity Clusters in Midlife on Ischemic Stroke Incidence and Severity: The ARIC Study

There is a strong association between vascular risk factors, particularly in midlife, and stroke risk; therefore, the co-occurrence of multiple risk factors may be especially informative. This study ...
GitHub

TreeSeg: Hierarchical Topic Segmentation of Large Transcripts

Official repo for "TreeSeg: Hierarchical Topic Segmentation of Large Transcripts" Paper: https://arxiv.org/abs/2407.12028 TreeSeg is an algorithm for segmenting large ...
GitHub

Retraining-Free Merging of Sparse Mixture-of-Experts via Hierarchical Clustering

In this work, we propose HC-SMoE (Hierarchical Clustering for Sparsely activated Mixture of Experts), a task-agnostic expert merging framework that reduces SMoE model parameters without retraining.