Hierarchical Image Feature Compression for Machines via Feature Sparsity Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2024.3388968
Abstract: Recently, Video Coding for Machines (VCM) has gained more and more attention due to its efforts in machine vision tasks. As a crucial track in VCM, feature compression preserves and transmits critical feature information for… read more here.
Keywords: feature compression; feature sparsity; image feature; compression ... See more keywords
Simultaneous estimation of cluster number and feature sparsity in high-dimensional cluster analysis.
Sign Up to like & getrecommendations! Published in 2021 at "Biometrics"
DOI: 10.1111/biom.13449
Abstract: Estimating the number of clusters (K) is a critical and often difficult task in cluster analysis. Many methods have been proposed to estimate K, including some top performers using resampling approach. When performing cluster analysis… read more here.
Keywords: high dimensional; cluster; cluster analysis; feature sparsity ... See more keywords