説明
This collection presents the illuminating insights and discussions that emerged from the PASCAL workshop held in Bohinj, Slovenia. It showcases a range of research focused on subspace methods, latent structure, and feature selection, emphasizing their statistical and optimization angles. Contributors delve into various approaches that enhance understanding and applications within pattern analysis and related fields.
With a selection of carefully vetted papers, the book reflects the latest trends and challenges faced by researchers. It serves as a valuable resource for anyone looking to expand their knowledge in data analysis and machine learning, making complex concepts accessible and relevant.
With a selection of carefully vetted papers, the book reflects the latest trends and challenges faced by researchers. It serves as a valuable resource for anyone looking to expand their knowledge in data analysis and machine learning, making complex concepts accessible and relevant.
本の詳細
形式
ペーパーバック
ページ数
219ページ
言語
英語
公開されました
May 16, 2006
出版社
Springer
ISBN-10
3540341374
ISBN-13
9783540341376