Multi-Modal Distance Metric Learning: ABayesian Non-parametric Approach

Autor:	Ali Zarghami, Mahdieh Soleymani Baghshah, Seyed Mahdi Roostaiyan, Behnam Babagholami-Mohamadabadi
Rok vydání:	2015
Předmět:	symbols.namesake Modal business.industry Computer science Metric (mathematics) Nonparametric statistics symbols Pattern recognition Artificial intelligence Similarity measure Cluster analysis business Gibbs sampling
Zdroj:	Computer Vision-ECCV 2014 Workshops ISBN: 9783319161983 ECCV Workshops (3)
DOI:	10.1007/978-3-319-16199-0_5
Popis:	In many real-world applications (e.g. social media application), data usually consists of diverse input modalities that originates from various heterogeneous sources. Learning a similarity measure for such data is of great importance for vast number of applications such as classification, clustering, retrieval, etc.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3913cb9f72cefbe2e00a560e14357e79 https://doi.org/10.1007/978-3-319-16199-0_5 Zobrazit plný text záznamu